README (README.md)

<a href="https://kaggle.farid.one/">
<img src="public/images/logo.png" height="150">
</a>


<h1 align="center">Kaggle Solutions</h1>

<h3 align="center" style=" border-bottom: 0px;">The Most Comprehensive Collection of Kaggle Competition Solutions and Ideas</h3>

<a href="#overview">Overview</a> •
<a href="#usage">Usage</a> •
<a href="#suggestions">Suggestions</a> •
<a href="#contribution">Contribution</a>

<hr />

Overview

This repository is a curated collection of solutions, ideas, and insights from top performers across hundreds of Kaggle competitions. Whether you're a beginner looking to learn from the best or an experienced competitor seeking inspiration, this resource provides:

- Winning Solutions: Detailed approaches from competition winners and top finishers
- Discussion Threads: Links to the most valuable community discussions
- Code Notebooks: Top-rated kernels and implementations
- Learning Resources: Videos, tutorials, and educational content
- Competition Insights: Analysis of evaluation metrics, datasets, and problem-solving strategies

The repository is regularly updated as competitions conclude, making it a living archive of competitive machine learning knowledge.

Usage

Browsing Solutions

Visit the live website at kaggle.farid.one to:

- Browse competitions by category (Computer Vision, NLP, Tabular, Time Series, etc.)
- Search for specific competitions or techniques
- Access curated solutions and discussion links
- Watch tutorial videos and presentations

Creating Your Own Copy

Fork this repository to create your personal version:

1. Click the Fork button at the top of this repository
2. Your forked version will be available at https://<YOUR_USER_NAME>.github.io/kaggle-solutions
3. Add your own notes, solutions, and insights in markdown format
4. Customize the content to match your learning journey

This Astro-based site builds to static files, so it can deploy cleanly to modern hosts such as Cloudflare Pages, Netlify, or Vercel while keeping the content workflow lightweight.

Running Locally

bash

npm install
npm run dev

The competition archive still reads from data/competitions.yml, and the helper scripts in scripts/ can keep updating that file without changing the frontend stack.

Suggestions

To maximize your learning from past competitions, follow this comprehensive approach for each competition you study:

Understanding the Competition

- Competition Description: Understand the business problem and objectives
- Evaluation Metric: Study how solutions are scored (AUC, RMSE, Log Loss, etc.)
- Dataset Characteristics: Analyze data types, size, features, and any special considerations
- Timeline & Rules: Review competition duration and specific constraints

Learning from Top Performers

- Leaderboard Analysis: Check profiles of top finishers to understand their approach patterns
- Solution Discussions: Read post-competition solution threads (often titled "1st place solution", "Our approach", etc.)
- Code Notebooks: Study the most upvoted and awarded kernels for implementation details
- Ensemble Strategies: Note how winners combined multiple models

Key Areas to Focus On

- Feature Engineering: What creative features did winners develop?
- Model Selection: Which algorithms performed best and why?
- Validation Strategy: How did top performers set up cross-validation?
- Post-Processing: What techniques were applied to final predictions?

Applying Knowledge

- Try implementing winning solutions on your own
- Experiment with variations and test your understanding
- Document your learnings and insights in your forked repository

Contribution

Contributions are welcome and encouraged! Help make this the most comprehensive Kaggle solutions resource.

How to Contribute

Found a missing solution? If you discover a competition solution, discussion, or resource not listed here:

1. Fork this repository
2. Add the solution link to the appropriate competition page
3. Ensure the link is valid and points to valuable content
4. Submit a pull request with a clear description

What to contribute:

- Winner's solution write-ups and code repositories
- Insightful discussion threads from competition forums
- High-quality notebooks and kernels
- Tutorial videos or blog posts analyzing competitions
- Additional competition metadata or corrections

Quality Guidelines:

- Verify links are working and point to relevant content
- Follow the existing markdown format and structure
- Provide context when adding new resources
- Check for duplicates before submitting

Questions or Issues?

If you have questions, suggestions, or encounter any issues, please open an issue on GitHub.

---

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments

Thanks to the Kaggle community and all competition participants who share their solutions and insights, making machine learning knowledge accessible to everyone.

---

FUNDING.Yml (FUNDING.yml)

These are supported funding model platforms

github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
patreon: # Replace with a single Patreon username
open_collective: # Replace with a single Open Collective username
ko_fi: # Replace with a single Ko-fi username
tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
liberapay: # Replace with a single Liberapay username
issuehunt: # Replace with a single IssueHunt username
lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry
polar: # Replace with a single Polar username
buy_me_a_coffee: faridrashidi
thanks_dev: # Replace with a single thanks.dev username
custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']

---

LICENSE (LICENSE.md)

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

---

Package.Json (package.json)

{
"name": "kaggle-solutions",
"version": "2026.8.6",
"private": true,
"type": "module",
"engines": {
"node": ">=22.12.0"
},
"scripts": {
"dev": "astro dev",
"start": "astro dev",
"build": "astro build",
"postbuild": "node scripts/postbuild.mjs",
"preview": "astro preview",
"check": "astro check"
},
"dependencies": {
"@astrojs/sitemap": "^3.7.1",
"astro": "^6.3.3",
"js-yaml": "^4.1.1"
},
"devDependencies": {
"@astrojs/check": "^0.9.2",
"@types/js-yaml": "^4.0.9",
"typescript": "^5.9.3"
},
"overrides": {
"volar-service-yaml": {
"yaml-language-server": "1.22.0"
}
}
}

---

Vercel.Json (vercel.json)

{
"$schema": "https://openapi.vercel.sh/vercel.json",
"cleanUrls": true
}

---

Data/Competitions.Yml (data/competitions.yml)

competitions:
- number: "713"
title: "Playground Series - Season 6 Episode 7"
desc: "Predicting Student Health Risk"
kind: "Playground"
prize: "Swag"
team: "3,355"
metric: "Balanced Accuracy Score"
link: "https://www.kaggle.com/c/playground-series-s6e7"
image: "/logos/125223.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s6e7/writeups/2nd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s6e7/writeups/4th-place-from-414-to-4-trusting-oof-when-the"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/playground-series-s6e7/writeups/rank11-approach"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/playground-series-s6e7/writeups/29th-place-ft-transformer-exact-value-target-en"
kind: "description"
- rank: "36"
link: "https://www.kaggle.com/c/playground-series-s6e7/writeups/pss6e7-cv-blending"
kind: "description"
- number: "712"
title: "The 2026 NeuroGolf Championship"
desc: "Design the smallest neural networks to solve ARC-AGI image transformations"
kind: "Research"
prize: "$50,000"
team: "2,963"
metric: "NeuroGolf Metric"
link: "https://www.kaggle.com/c/neurogolf-2026"
image: "/logos/116438.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/1st-place-kaggle-agent"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/work-in-progress-2nd-place-neurogolf-team"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/3rd-place-solution-writeup"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/4th-place-solution-writeup"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/6th-place-solution-claudex"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/7th-place-solution-slow-and-steady"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/8th-place-writeup-draft"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/8th-place-gold-pavel-and-crodoc"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/9th-place-solution"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/11th-place-solution"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/14th-place-writeup"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/i-deleted-my-entire-project-6-days-before-the-dead"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/21st-place-solution-representation-collapse"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/25th-place-solution-documenting-12-days-of-grind"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/neurogolf-26th-place-solution-writeup"
kind: "description"
- rank: "34"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/38th-place-solo-213-hours-of-autonomous-multi-mod"
kind: "description"
- rank: "36"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/neurogolf-as-program-synthesis-a-guarded-agent-lo"
kind: "description"
- rank: "37"
link: "https://www.kaggle.com/c/neurogolf-2026/writeups/41st-place-silver-solo-the-improvement-loop"
kind: "description"
- number: "711"
title: "Orbit Wars"
desc: "Conquer planets rotating around a sun in continuous 2D space. A real-time strategy game for 2 or 4 players."
kind: "Featured"
prize: "$50,000"
team: "4,729"
metric: "orbit_wars"
link: "https://www.kaggle.com/c/orbit-wars"
image: "/logos/138420.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/orbit-wars/writeups/1st-place-solution-scaling-reinforcement-learnin"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/orbit-wars/writeups/2nd-place-solution-for-orbit-wars"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/orbit-wars/writeups/3rd-place-ab-in-den-orbit"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/orbit-wars/writeups/orbit-wars-5th-place-solution"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/orbit-wars/writeups/6th-rl-league-search-with-a-custom-edge-atte"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/orbit-wars/writeups/7th-place-solution-how-structured-experiments-sa"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/orbit-wars/writeups/8th-place-how-i-made-ender"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/orbit-wars/writeups/9th-place-solution-end-to-end-jax-ppo"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/orbit-wars/writeups/10th-place-solution"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/orbit-wars/writeups/11th-place-solution-standing-on-the-shoulders-of"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/orbit-wars/writeups/19th-place-gold-writeup"
kind: "description"
- rank: "48"
link: "https://www.kaggle.com/c/orbit-wars/writeups/implementing-a-critic-free-rl-in-adversarial-games"
kind: "description"
- rank: "49"
link: "https://www.kaggle.com/c/orbit-wars/writeups/top-50-imitation-learning-solution"
kind: "description"
- number: "710"
title: "Maze Crawler"
desc: "Navigate an infinite scrolling maze with fog of war in this 1v1 simulation"
kind: "Playground"
prize: "Knowledge"
team: "459"
metric: "crawl"
link: "https://www.kaggle.com/c/maze-crawler"
image: "/logos/140389.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/maze-crawler/writeups/maze-crawler-1st-place-preliminary-solution-wr"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/maze-crawler/writeups/maze-crawler-3rd-place-solution-writeup"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/maze-crawler/writeups/7th-place-global-task-optimization-hungarian-mat"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/maze-crawler/writeups/5th-place-a-rules-based-bot-without-much-search"
kind: "description"
- number: "709"
title: "Playground Series - Season 6 Episode 6"
desc: "Predicting Stellar Class"
kind: "Playground"
prize: "Swag"
team: "2,816"
metric: "Balanced Accuracy Score"
link: "https://www.kaggle.com/c/playground-series-s6e6"
image: "/logos/125222.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/1st-place-mission-300-accomplished"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/6th-place-solution-trusting-the-oof-plateau"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/8th-place-solution"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/9th-place-solution"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/12th-place"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/22nd-place-solution"
kind: "description"
- rank: "23"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/23rd-private-merci-chris-deotte"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/24th-place-solution"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/25th-place-my-public-starter-notebook"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/26th-place-writeup-predicting-stellar-class"
kind: "description"
- rank: "31"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/31st-place-first-time-in-100"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/33rd-place-solution"
kind: "description"
- rank: "42"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/blending-with-quasi-mc-and-tpe"
kind: "description"
- rank: "45"
link: "https://www.kaggle.com/c/playground-series-s6e6/writeups/45th-place-catboost-stacker-paired-with-mlp-embed"
kind: "description"
- number: "708"
title: "I'm Something of a Painter Myself"
desc: "Use GANs to create art - will vou be the next Monet?"
kind: "Getting Started"
prize: "Knowledge"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/gan-getting-started"
image: "/logos/21755.webp"
year: "2026"
isHot: "false"
done: "false"
solutions:
- number: "707"
title: "Hull Tactical - Market Prediction"
desc: "Can you predict market predictability?"
kind: "Featured"
prize: "$100,000"
team: "3,677"
metric: "Hull Competition Sharpe"
link: "https://www.kaggle.com/c/hull-tactical-market-prediction"
image: "/logos/111543.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "4"
link: "https://www.kaggle.com/c/hull-tactical-market-prediction/writeups/4th-place-technical-model-no-learning-short-te"
kind: "description"
- number: "706"
title: "5-Day AI Agents; Intensive Vibe Coding Course With Google"
desc: "June 15 - 19, 2026"
kind: "Featured"
prize: "Kudos"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/5-day-ai-agents-intensive-vibecoding-course-with-google"
image: "/logos/137190.webp"
year: "2026"
isHot: "false"
done: "false"
solutions:
- number: "705"
title: "NVIDIA Nemotron Model Reasoning Challenge"
desc: "Advance reasoning techniques using NVIDIA Nemotron open models on a novel benchmark"
kind: "Featured"
prize: "$106,388"
team: "4,182"
metric: "NVIDIA Nemotron Metric"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge"
image: "/logos/129716.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/1st-place-solution"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/2nd-place-solution"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/2nd-public-6th-private-place-solution"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/4th-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/domdolus-tolus-solution"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/7th-place-solution-solving-bitmanipulation-via-st"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/9th-place-solution-human-auditable-cot"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/10th-place-solution"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/13th-place-solution"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/wip-lb15-extension-to-huikangs-progress-prize"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/18th-solution-from-deterministic-solvers-to-learn"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/nvidia-nemotron-model-reasoning-challenge/writeups/lb25-progress-prize-improvements"
kind: "description"
- number: "704"
title: "BirdCLEF+ 2026"
desc: "Acoustic Species Identification in the Pantanal, South America"
kind: "Research"
prize: "$50,000"
team: "4,094"
metric: "Birdclef ROC AUC"
link: "https://www.kaggle.com/c/birdclef-2026"
image: "/logos/129329.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/1st-place-solution-noisy-student-meets-distillati"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/2nd-place-diverse-ensemble-with-pseudo-labeling-a"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/4-th-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/5th-place-solution-both-are-all-you-need"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/6th-place-solution"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/2026-birdclef-7th-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/8th-place-solution"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/private-9th-public-2nd-solution"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/10th-solution-simple-model-as-always"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/704258"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/12th-place-solution-mixmax-regularization"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/13th-solution"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/14th-place-solo-gold-solution"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/16th-place-solution"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/not-just-birds-cross-mutation-distillation-meets"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/birdclef-2026-18th-place-solution-ensemble-is-all"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/birdclef-2026-solution-writeup-19th-place-sel"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/22nd-place-solution"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/26th-place-solution"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/27th-place-solution"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/private-24th-solution"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/listen-to-the-pantanal"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/birdclef-2026/writeups/33th-place-solution-including-manually-data-cleani"
kind: "description"
- number: "703"
title: "CAFA 6 Protein Function Prediction"
desc: "Predict the biological function of a protein "
kind: "Research"
prize: "$50,000"
team: "2,259"
metric: "cafa6_metric_final"
link: "https://www.kaggle.com/c/cafa-6-protein-function-prediction"
image: "/logos/116062.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/cafa-6-protein-function-prediction/writeups/1st-place-solution-for-the-cafa-6-protein-function"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/cafa-6-protein-function-prediction/writeups/2nd-solution-of-cafa-6-py-boost-gcn-articles-da"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/cafa-6-protein-function-prediction/writeups/what-happened"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/cafa-6-protein-function-prediction/writeups/4st-place-solution-for-the-cafa-6-protein-function"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/cafa-6-protein-function-prediction/writeups/5th-place-solution"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/cafa-6-protein-function-prediction/writeups/6th-place-solution-for-the-cafa-6-protein-function"
kind: "description"
- rank: "41"
link: "https://www.kaggle.com/c/cafa-6-protein-function-prediction/writeups/41st-place-solution-for-the-cafa-6-protein-functio"
kind: "description"
- number: "702"
title: "Playground Series - Season 6 Episode 5"
desc: "Predicting F1 Pit Stops"
kind: "Playground"
prize: "Swag"
team: "3,022"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/playground-series-s6e5"
image: "/logos/125221.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s6e5/writeups/1st-place-by-the-skin-of-my-teeth"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s6e5/writeups/2nd-place-autonomous-codex-yolo"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s6e5/writeups/4th-place-5-day-rush"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s6e5/writeups/5th-place-solution-a-99-model-logit-stack"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/playground-series-s6e5/writeups/7th-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s6e5/writeups/l5-ensemble"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/playground-series-s6e5/writeups/stacking-stacked-predictions"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/playground-series-s6e5/writeups/11th-place-in-the-midst-of-entrance-exams"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/playground-series-s6e5/writeups/rank17-approach-diverse-models-and-blend"
kind: "description"
- number: "701"
title: "The Gemma 4 Good Hackathon"
desc: "Harness the power of Gemma 4 to drive positive change and global impact."
kind: "Featured"
prize: "$200,000"
team: "1,612"
metric: "-"
link: "https://www.kaggle.com/c/gemma-4-good-hackathon"
image: "/logos/134561.webp"
year: "2026"
isHot: "false"
done: "false"
solutions:
- number: "700"
title: "Playground Series - Season 6 Episode 4"
desc: "Predicting Irrigation Need"
kind: "Playground"
prize: "Swag"
team: "4,315"
metric: "Balanced Accuracy Score"
link: "https://www.kaggle.com/c/playground-series-s6e4"
image: "/logos/125220.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s6e4/writeups/1st-place-one-vs-rest-approach"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s6e4/writeups/2nd-place-claude-code-and-codex-gpu-logreg"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s6e4/writeups/error-diversity-matters-200-model-stacking-soluti"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s6e4/writeups/4th-place-more-ensemblers-than-models"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s6e4/writeups/5th-place-solution-writeup-ai-for-large-scale-ex"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/playground-series-s6e4/writeups/12th-place-solution-stacked-ensemble-with-ordered"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/playground-series-s6e4/writeups/19nd-place-ensemble-of-29-models"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/playground-series-s6e4/writeups/24th-place-a-heavy-stacking-approach-with-166-oof"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/playground-series-s6e4/writeups/ps-s6e4-retrospective-42-rank-jump-to-top-0-7"
kind: "description"
- number: "699"
title: "Recod.ai/LUC - Scientific Image Forgery Detection"
desc: "Develop methods that can accurately detect and segment copy-move forgeries within biomedical research images."
kind: "Research"
prize: "$55,000"
team: "1,564"
metric: "RecodAI F1"
link: "https://www.kaggle.com/c/recodai-luc-scientific-image-forgery-detection"
image: "/logos/113558.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/recodai-luc-scientific-image-forgery-detection/writeups/1st-place-solution"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/recodai-luc-scientific-image-forgery-detection/writeups/recod-ai-luc-scientific-image-forgery-detection"
kind: "description"
- number: "698"
title: "Measuring Progress Toward AGI - Cognitive Abilities"
desc: "Design high-quality benchmarks that go beyond recall to evaluate how frontier models truly reason, act, and judge."
kind: "Featured"
prize: "$200,000"
team: "1,069"
metric: "-"
link: "https://www.kaggle.com/c/kaggle-measuring-agi"
image: "/logos/128852.webp"
year: "2026"
isHot: "false"
done: "false"
solutions:
- number: "697"
title: "AI Mathematical Olympiad - Progress Prize 3"
desc: "Solve international-level math challenges using artificial intelligence models"
kind: "Featured"
prize: "$2,207,152"
team: "4,138"
metric: "Fork of metric_template 3b3a67"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-3"
image: "/logos/118448.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-3/writeups/less-prompting-more-trust"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-3/writeups/entropy-weighted-self-consistency-for-olympiad-lev"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-3/writeups/inference-time-engineering-for-imo-level-mathemati"
kind: "description"
- number: "696"
title: "March Machine Learning Mania 2026"
desc: "Forecast the 2026 NCAA Basketball Tournaments"
kind: "Featured"
prize: "$50,000"
team: "3,462"
metric: "Mean Squared Error"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026"
image: "/logos/130469.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/march-machine-learning-mania-2026-1st-place-solut"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/2nd-place-solution-for-the-march-machine-learning"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/3rd-place-solution-march-machine-learning-mania"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/4th-place-solution-for-the-march-machine-learning"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/march-machine-learning-mania-2026-5nd-place-solut"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/6th-place-solution-march-machine-learning-mania-20"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/7th-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/8th-place-march-machine-learning-mania-2026"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/march-mania-2026-10th-place-solution"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/march-machine-learning-mania-2026-silver-medal-s"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/21st-place-solution-5-model-ensemble-with-optuna"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/28th-place-solution"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/top-1-goto-conversion-ucla-womens-override"
kind: "description"
- rank: "49"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2026/writeups/march-machine-learning-mania-2026-under-50-solut"
kind: "description"
- number: "695"
title: "Playground Series - Season 6 Episode 3"
desc: "Predict Customer Churn"
kind: "Playground"
prize: "Swag"
team: "4,142"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/playground-series-s6e3"
image: "/logos/125197.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s6e3/writeups/1st-place-gpt5-4-gemini3-1-claudeopus4-6-kgm"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s6e3/writeups/3rd-place-solution-an-ensemble-of-100-oofs"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s6e3/writeups/5th-place-solution-149-models-6-meta-models"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/playground-series-s6e3/writeups/9th-place-solution"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/playground-series-s6e3/writeups/16th-place-solution-ridge-ensembling"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/playground-series-s6e3/writeups/17th-place-solution"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/playground-series-s6e3/writeups/18th-place-many-oofs-neural-networks-over-gbdts"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/playground-series-s6e3/writeups/21st-place-solution-final-blend-selection-with-ri"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/playground-series-s6e3/writeups/22nd-place-solution"
kind: "description"
- rank: "34"
link: "https://www.kaggle.com/c/playground-series-s6e3/writeups/34th-place-solution-ridge-multi-view-ensemble"
kind: "description"
- rank: "38"
link: "https://www.kaggle.com/c/playground-series-s6e3/writeups/rank-38-approach"
kind: "description"
- number: "694"
title: "Stanford RNA 3D Folding Part 2"
desc: "Solve RNA structure prediction, one of biologys remaining grand challenges"
kind: "Featured"
prize: "$75,000"
team: "1,867"
metric: "Ribonanza TM-Score PermuteChains"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding-2"
image: "/logos/118765.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "5"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding-2/writeups/5th-place-solution-stanford-rna-3d-folding-part"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding-2/writeups/6th-place-solution"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding-2/writeups/7th-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding-2/writeups/8th-place-solution-tbm-and-protenix"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding-2/writeups/optimize-diversity-when-representation-is-limited"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding-2/writeups/10th-place-solution"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding-2/writeups/16th-place-solution"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding-2/writeups/19th-place-solution"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding-2/writeups/33rd-place-solution"
kind: "description"
- number: "693"
title: "Deep Past Challenge - Translate Akkadian to English"
desc: "Bringing Bronze Age Voices Back to Life – Machine Translation of Old Assyrian Cuneiform"
kind: "Featured"
prize: "$50,000"
team: "2,673"
metric: "DPI BLEU / chrF++"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation"
image: "/logos/121150.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/dpc-1st-data-quality-dictates-everything"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/2nd-place-data-centric-akkadian-nmt"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/3rd-synthetic-data-to-teach-oa-fundamentals"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/fourth-place-solution-writeup"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/5th-solution"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/dpc-6th-solution"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/short-7th-place-note"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/8th-place-solution-2-stage-fine-tuning-high-qua"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/9th-place-solution-for-the-deep-past-challenge-c"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/10th-place-solution-seq2seq-cpt-pseudo-label"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/11th-place-solution"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/12th-place-notebooklm-and-single-byt5-base-model"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/15th-place-gold-solution"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/20th-place-byt5-base-span-corruption-synth-and-s"
kind: "description"
- rank: "23"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/23rd-place-cpt-grpo-no-sft"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/26th-place-dpc-solution-contextual-byt5-large-e"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/top-13-solution"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/llm-online-learning-is-all-you-need"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/21th-byt5-base-gemini-augmentation-no-ensembl"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/25th-post-training-qwen2-5-32b-and-72b-with-gemi"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/silver-medal-solution29th-byt5-xl-custom-cpt-wi"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/byt5-large-with-word-level-dapt"
kind: "description"
- rank: "32"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/32nd-byt5-base-fine-tuning-no-llms-no-synthet"
kind: "description"
- rank: "47"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/multi-phase-curriculum-training"
kind: "description"
- rank: "49"
link: "https://www.kaggle.com/c/deep-past-initiative-machine-translation/writeups/2-stage-cv-cpt-and-mbr-decoding"
kind: "description"
- number: "692"
title: "Playground Series - Season 6 Episode 2"
desc: "Predicting Heart Disease"
kind: "Playground"
prize: "Kudos"
team: "4,370"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/playground-series-s6e2"
image: "/logos/125192.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/1st-place-solution-diversity-selection-and-t"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/2nd-place-solution-avoid-leaks-and-overfitting"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/4th-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/8th-place-ensemble-and-trustcv"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/10th-rank-solution-playground-series-s6e2"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/top-12-finish-2-score-wise"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/15th-place-solution"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/16th-place-solution-trust-your-cv"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/20th-place-solution-private-0-95533-ridge-stac"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/22nd-place-nns-again-better-than-gbms"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/25th-place-solution"
kind: "description"
- rank: "35"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/35-place-time-for-a-write-up"
kind: "description"
- rank: "43"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/43-solution-catboost-realmlp"
kind: "description"
- rank: "44"
link: "https://www.kaggle.com/c/playground-series-s6e2/writeups/44th-place-simple-as-slime"
kind: "description"
- number: "691"
title: "Vesuvius Challenge - Surface Detection"
desc: "Build a model to virtually unwrap ancient scrolls. "
kind: "Research"
prize: "$200,000"
team: "1,391"
metric: "Vesuvius 2025 Metric"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection"
image: "/logos/117682.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/1st-place-solution-for-the-vesuvius-challenge-su"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/2nd-place-solution-vesuvius-challenge-a-postproc"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/quick-preview-of-the-3rd-place"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/4-th-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/5th-place-solution"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/7st-place-solution-for-the-vesuvius-challenge"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/8th-place-solution"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/9th-place-solution"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/10th-place-solution"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/11th-place"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/12th-place-solution"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/18th-median-filter-x-7-post-processing-is-very-s"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/24th-place-solution"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/25th-place-solution"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/27th-place"
kind: "description"
- rank: "35"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/35th-private-lb-silversolutionhigh-epoch-nnu-net"
kind: "description"
- rank: "43"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/43rd-place-solution-two-stage-nnu-net-for-hole-f"
kind: "description"
- rank: "49"
link: "https://www.kaggle.com/c/vesuvius-challenge-surface-detection/writeups/less-is-more-a-single-skeleton-aware-nnu-net-for"
kind: "description"
- number: "690"
title: "The MedGemma Impact Challenge"
desc: "Build human-centered AI applications with MedGemma and other open models from Google’s Health AI Developer Foundations (HAI-DEF)."
kind: "Featured"
prize: "$100,000"
team: "880"
metric: "-"
link: "https://www.kaggle.com/c/med-gemma-impact-challenge"
image: "/logos/118534.webp"
year: "2026"
isHot: "false"
done: "false"
solutions:
- number: "689"
title: "Playground Series - Season 6 Episode 1"
desc: "Predicting Student Test Scores"
kind: "Playground"
prize: "Swag"
team: "4,317"
metric: "Root Mean Squared Error"
link: "https://www.kaggle.com/c/playground-series-s6e1"
image: "/logos/119082.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s6e1/writeups/1st-place-ive-ran-out-of-catchy-phrases-v"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s6e1/writeups/2nd-place-nns-sometimes-work-better-than-gbms"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s6e1/writeups/3rd-place-135-oofs"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s6e1/writeups/first-loser-aka-4th-place"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s6e1/writeups/5th-place-feature-driven-diversity-and-iterative-e"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s6e1/writeups/6th-place-a-lot-of-features-a-lot-of-ensembling"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/playground-series-s6e1/writeups/private-7-diversity-ensemble-and-cv-trust"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/playground-series-s6e1/writeups/13th-place-diversityslop"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/playground-series-s6e1/writeups/rank14-approach-grand-blend-of-diverse-models"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/playground-series-s6e1/writeups/1st-contest-15th-place"
kind: "description"
- number: "688"
title: "Santa 2025 - Christmas Tree Packing Challenge"
desc: "How many Christmas trees can fit in a box? Help solve a classic optimization problem with a festive twist."
kind: "Featured"
prize: "$50,000"
team: "3,357"
metric: "Santa 2025 Metric"
link: "https://www.kaggle.com/c/santa-2025"
image: "/logos/119106.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "3"
link: "https://www.kaggle.com/c/santa-2025/writeups/third-place-solution-a-customized-sparrow-algorit"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/santa-2025/writeups/4th-place-hybrid-packing-with-sparrow-manual-str"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/santa-2025/writeups/santa25-8th-place"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/santa-2025/writeups/exploiting-homogeneity-in-feasibility-driven-polyg"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/santa-2025/writeups/11th-place-solution"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/santa-2025/writeups/santa25-12th-place"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/santa-2025/writeups/13th-place-santa25-billiard-customized-sparrow"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/santa-2025/writeups/santa25-14th-place-custom-simulated-annealing"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/santa-2025/writeups/santa25-15th-place"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/santa-2025/writeups/loosen-up-add-a-tree-and-let-sparrow-explore"
kind: "description"
- rank: "31"
link: "https://www.kaggle.com/c/santa-2025/writeups/east-team-solution"
kind: "description"
- number: "687"
title: "CSIRO - Image2Biomass Prediction"
desc: "Predict biomass using the provided pasture images"
kind: "Research"
prize: "$75,000"
team: "3,802"
metric: "R2 Score"
link: "https://www.kaggle.com/c/csiro-biomass"
image: "/logos/112509.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/1st-place-solution"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/2nd-weakly-supervised-semantic-segmentation-sy"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/physics-constrained-regression-integrating-biolog"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/5th-place-solution"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/a-scalar-regression-pipeline-based-on-dinov3"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/8th-place-solution-singledual-ttt"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/8th-place-solution-csiro-image2biomass"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/9th-place-solution"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/10th-place-solution"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/13th-place-solution-frozen-dinov3-stacked-ridg"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/21nd-soluion-simple-model-data-augmentation"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/27th-place-solution"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/30th-place-solution"
kind: "description"
- rank: "31"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/dinov3-dora-tweedie-loss-ballanced-r2"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/33rd-place-silver-medal-solution"
kind: "description"
- rank: "37"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/top-10-public-top-38-private-solution"
kind: "description"
- rank: "41"
link: "https://www.kaggle.com/c/csiro-biomass/writeups/41st-place-solution-self-prompt-tuning-with-di"
kind: "description"
- number: "686"
title: "PhysioNet - Digitization of ECG Images"
desc: "Extract the ECG time-series data from scans and photographs of paper printouts of the ECGs."
kind: "Research"
prize: "$50,000"
team: "1,428"
metric: "Physionet ECG Signal Extraction Metric"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization"
image: "/logos/97984.webp"
year: "2026"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/1st-place-solution"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/2nd-place-solution"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/4th-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/5th-place-solution"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/6th-place-solution"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/7th-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/8th-place-solution"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/9th-place-solution"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/top-10-solution-giba"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/11th-place-solution"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/12th-place-solution"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/13th-place-solution-public-lb-21-62-db-privat"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/14th-place-solution"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/15th-place-solution"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/17th-place-solution"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/21st-place-solution"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/24th-place-solution"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/26th-place-solution"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/physionet-ecg-image-digitization/writeups/27th-place-solution-only-pre-and-postprocessing"
kind: "description"
- number: "685"
title: "MITSUI&CO. Commodity Prediction Challenge"
desc: "Develop a robust model for accurate and stable prediction of commodity prices"
kind: "Featured"
prize: "$100,000"
team: "1,711"
metric: "MITSUI&CO. Commodity Prediction Metric"
link: "https://www.kaggle.com/c/mitsui-commodity-prediction-challenge"
image: "/logos/94771.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "3"
link: "https://www.kaggle.com/c/mitsui-commodity-prediction-challenge/writeups/3-rd-place-solution-directional-trends-over-vola"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/mitsui-commodity-prediction-challenge/writeups/zlf-solution-of-the-mitsui-commodity-predict"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/mitsui-commodity-prediction-challenge/writeups/artem777-in-mitsui-6th-Place"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/mitsui-commodity-prediction-challenge/writeups/tatru-in-mitsui-and-co-commodity-prediction"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/mitsui-commodity-prediction-challenge/writeups/transformer-based-solution"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/mitsui-commodity-prediction-challenge/writeups/mitsui-14th-place-submission"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/mitsui-commodity-prediction-challenge/writeups/mitsui-and-co-commodity-prediction-challenge-15th"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/mitsui-commodity-prediction-challenge/writeups/25th-place-silver-mitsui-commodity-prediction"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/mitsui-commodity-prediction-challenge/writeups/26th-place-mitsui-and-co-commodity-prediction"
kind: "description"
- rank: "37"
link: "https://www.kaggle.com/c/mitsui-commodity-prediction-challenge/writeups/andnov-37th-place-solution-for-MITSUI-CO-commodity"
kind: "description"
- number: "684"
title: "Google Tunix Hack - Train a model to show its work"
desc: "Teach a LLM to reason using Tunix, Google’s new JAX-native library for LLM post-training."
kind: "Featured"
prize: "$100,000"
team: "322"
metric: "-"
link: "https://www.kaggle.com/c/google-tunix-hackathon"
image: "/logos/119261.webp"
year: "2026"
isHot: "false"
done: "false"
solutions:
- number: "683"
title: "NFL Big Data Bowl 2026 - Prediction"
desc: "Predict player movement while the ball is in the air"
kind: "Featured"
prize: "$50,000"
team: "1,899"
metric: "NFL_2025"
link: "https://www.kaggle.com/c/nfl-big-data-bowl-2026-prediction"
image: "/logos/114239.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/nfl-big-data-bowl-2026-prediction/writeups/public-3rd-solution"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/nfl-big-data-bowl-2026-prediction/writeups/2nd-place-solution"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/nfl-big-data-bowl-2026-prediction/writeups/3rd-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/nfl-big-data-bowl-2026-prediction/writeups/5th-place-solution"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/nfl-big-data-bowl-2026-prediction/writeups/th-place-solution"
kind: "description"
- rank: "23"
link: "https://www.kaggle.com/c/nfl-big-data-bowl-2026-prediction/writeups/gru-solution"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/nfl-big-data-bowl-2026-prediction/writeups/public-23rd-solution-data-augmentation"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/nfl-big-data-bowl-2026-prediction/writeups/relembedding-architecture-and-chiral-augmentation"
kind: "description"
- number: "682"
title: "Playground Series - Season 5, Episode 12"
desc: "Diabetes Prediction Challenge"
kind: "Playground"
prize: "Swag"
team: "4,206"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/playground-series-s5e12"
image: "/logos/91723.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s5e12/writeups/1st-place-solution-hill-climbing-ridge-ensembl"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s5e12/writeups/2nd-place-solution-winning-based-on-id-shift-an"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s5e12/writeups/add-tabm-for-diversity"
kind: "description"
- number: "681"
title: "NFL Big Data Bowl 2026 - Analytics"
desc: "Understand player movement while the ball is in the air"
kind: "Featured"
prize: "$50,000"
team: "278"
metric: "-"
link: "https://www.kaggle.com/c/nfl-big-data-bowl-2026-analytics"
image: "/logos/114250.webp"
year: "2025"
isHot: "false"
done: "false"
solutions:
- number: "680"
title: "MABe Challenge - Social Action Recognition in Mice"
desc: "Detect unique behaviors from pose estimates of mice."
kind: "Research"
prize: "$50,000"
team: "1,412"
metric: "MABe F Beta"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection"
image: "/logos/59156.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection/writeups/2nd-place-solution"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection/writeups/4th-place-solution-xgb-nn-ensemble"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection/writeups/5th-place-gnn-egocentric-squeezeformer"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection/writeups/7th-place-gold-cnn-transformer-with-invariant-fe"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection/writeups/9th-place-gold"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection/writeups/10th-place-solution-st-gcn-transformer"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection/writeups/12th-place-solution"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection/writeups/15th-place-solution"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection/writeups/key-improvements-in-our-solution-a-technical-summ"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection/writeups/19th-place-4-body-parts-invariant-features-with"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/MABe-mouse-behavior-detection/writeups/27th-place-solution"
kind: "description"
- number: "679"
title: "Google DeepMind - Vibe Code with Gemini 3 Pro in Al Studio"
desc: "Build with Gemini 3 and compete for $500,000 in credits"
kind: "Featured"
prize: "$500,000"
team: "4,102"
metric: "-"
link: "https://www.kaggle.com/c/gemini-3"
image: "/logos/120570.webp"
year: "2025"
isHot: "false"
done: "false"
solutions:
- number: "678"
title: "Playground Series - Season 5, Episode 11"
desc: "Predicting Loan Payback"
kind: "Playground"
prize: "Swag"
team: "3,724"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/playground-series-s5e11"
image: "/logos/91722.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s5e11/writeups/1st-place-a-lot-of-features-a-lot-of-models-an"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s5e11/writeups/2nd-place-solution-7-models-but-1-was-also-enou"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s5e11/writeups/4th-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s5e11/writeups/5th-place-solution-xgb-lgbm-tabm5seeds-ag"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s5e11/writeups/6-solution-ensembling-was-the-key"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s5e11/writeups/rank8-approach-trust-the-cv-score"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/playground-series-s5e11/writeups/a-10th-place-experiment"
kind: "description"
- number: "677"
title: "ARC Prize 2025"
desc: "Create an AI capable of novel reasoning"
kind: "Featured"
prize: "$1,000,000"
team: "1,554"
metric: "Abstraction and Reasoning Challenge"
link: "https://www.kaggle.com/c/arc-prize-2025"
image: "/logos/91496.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/arc-prize-2025/writeups/nvarc"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/arc-prize-2025/writeups/mindsai-and-tufa-labs-arc-prize-2025-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/arc-prize-2025/writeups/arc-prize-2025-competition-writeup-5th-place"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/arc-prize-2025/writeups/exploring-the-combination-of-search-and-learn-for"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/arc-prize-2025/writeups/lb10-00-with-small-change-to-2024architects"
kind: "description"
- number: "676"
title: "Playground Series - Season 5, Episode 10"
desc: "Predicting Road Accident Risk"
kind: "Playground"
prize: "Swag"
team: "4,082"
metric: "Mean Squared Error"
link: "https://www.kaggle.com/c/playground-series-s5e10"
image: "/logos/91721.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s5e10/writeups/1st-place-i-think-it-was-genetic-programming"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s5e10/writeups/3rd-place-from-base-to-stacking-a-multilevel-ens"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s5e10/writeups/4th-place-residual-xgboost-meta-nn-hill-clim"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s5e10/writeups/5th-place-one-hundred-folds"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/playground-series-s5e10/writeups/7th-place-ridge"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s5e10/writeups/8th-place-solution-for-s5e10-predict-road-acciden"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/playground-series-s5e10/writeups/s5e10-14th-place-solution"
kind: "description"
- number: "675"
title: "NeurIPS 2025 - Google Code Golf Championship"
desc: "Implement a variety of programs using the fewest number of characters!"
kind: "Research"
prize: "$100,000"
team: "1,142"
metric: "Code Golf Metric"
link: "https://www.kaggle.com/c/google-code-golf-2025"
image: "/logos/95282.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/google-code-golf-2025/writeups/cgi"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/google-code-golf-2025/writeups/parallel-sampling-rule-based-prompt-generation"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/google-code-golf-2025/writeups/himagine-the-future-5th-place-writeup"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/google-code-golf-2025/writeups/9th-place-write-up"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/google-code-golf-2025/writeups/15th-place-solution"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/google-code-golf-2025/writeups/getting-to-rank-25-by-teaching-llms-to-golf"
kind: "description"
- number: "674"
title: "Jigsaw - Agile Community Rules Classification"
desc: "Using AI models to help moderators uphold community-specific norms."
kind: "Featured"
prize: "$100,000"
team: "2,445"
metric: "94635_Jigsaw_Rules_AUC"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules"
image: "/logos/94635.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/1st-place-solution"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/2nd-place-solution"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/4th-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/5th-place-solution-diverse-ensemble"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/6th-place-solution"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/7th-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/8th-place-solution-qwen3-14b3-llama2-13b1-b"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/9th-place-solution"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/11th-place-solution"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/12th-place-solution"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/13th-place-solution-using-positive-examples-from"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/15th-place-solution"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/jigsaw-agile-community-rules/writeups/18th-solutionprivate-11th"
kind: "description"
- number: "673"
title: "MAP - Charting Student Math Misunderstandings"
desc: "Predict the affinity between misconceptions and student open-ended responses"
kind: "Featured"
prize: "$55,000"
team: "1,857"
metric: "MAP@{K}"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings"
image: "/logos/104383.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/1st-place-solution"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/map2025-private-and-public-2nd"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/4th-place-solution-single-model-pb-0-948-lb-0-951"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/5th-place-solution"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/mananjhaveri-map-6th-place-solution"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/private-7th-public-10th-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/8th-place-solution"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/9th-place-solution"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/10th-place-solution"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/12th-place-solution"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/map-competition-13th-place-gold-medal-solution"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/15th-place-solution-writeup"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/18th-place-pyramid-ensemble"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/place-22-with-only-1-model"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/public-8th-private-24th-missing-a-gold-solution"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/26th-place-solution"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/rank-30-solution"
kind: "description"
- rank: "31"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/private-31st-public-5th-solution-multi-head-ar"
kind: "description"
- rank: "45"
link: "https://www.kaggle.com/c/map-charting-student-math-misunderstandings/writeups/45th-place-silver-medal-a-multi-llm-ensemble-a"
kind: "description"
- number: "672"
title: "RSNA Intracranial Aneurysm Detection"
desc: "Detect the presence and location of intracranial aneurysms in multimodal imaging data"
kind: "Featured"
team: "1,147"
prize: "$50,000"
metric: "Mean Weighted Columnwise AUCROC"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection"
image: "/logos/99552.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/1st-place-solution"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/2nd-place-solution"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/4th-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/5th-place-solution"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/6th-place-solution"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/7th-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/8th-place-solution"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/9th-place-solution"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/11th-place-solution"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/15th-place-solution"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/18th-place-solution"
kind: "description"
- rank: "38"
link: "https://www.kaggle.com/c/rsna-intracranial-aneurysm-detection/writeups/38nd-place-solution"
kind: "description"
- number: "671"
title: "Playground Series - Season 5, Episode 9"
desc: "Predicting the Beats-per-Minute of Songs"
kind: "Playground"
prize: "Swag"
team: "1,289"
metric: "Mean Squared Error"
link: "https://www.kaggle.com/c/playground-series-s5e9"
image: "/logos/91720.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "26"
link: "https://www.kaggle.com/c/playground-series-s5e9/writeups/26th-place-fe-pseudo-labels-residuals"
kind: "description"
- number: "670"
title: "NeurIPS - Ariel Data Challenge 2025"
desc: "Derive exoplanet signals from Ariels optical instruments"
kind: "Featured"
prize: "$50,000"
team: "700"
metric: "Ariel Gaussian Log Likelihood"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025"
image: "/logos/101849.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/1st-place-solution-bayesian-inference-of-course"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/2nd-place-solution"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/3rd-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/5th-place-solution"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/6th-solution-writeup"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/7st-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/8th-place-solution"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/9th-solution"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/12th-place-solution-e2e-nn"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/14th-private4th-public-solution-brute-force-post"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/16th-place-solution-probablistic-regression"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/19th-place-solution"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/24-place-solution"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/25th-place-polynomnial-fitting-nelder-mead"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/29th-discovery-and-solution"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/33rd-place-solution"
kind: "description"
- rank: "37"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/37th-solution"
kind: "description"
- rank: "45"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/45th-place-solution"
kind: "description"
- rank: "48"
link: "https://www.kaggle.com/c/ariel-data-challenge-2025/writeups/48th-place-solution"
kind: "description"
- number: "669"
title: "Stanford RNA 3D Folding"
desc: "Solve RNA structure prediction, one of biology's remaining grand challenges"
kind: "Featured"
prize: "$75,000"
team: "1,516"
metric: "Template Modeling Score"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding"
image: "/logos/87793.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding/writeups/1st-place-solution"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding/writeups/2nd-place-solution"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding/writeups/3rd-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding/writeups/5th-place-solution"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding/writeups/6th-place-solution"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding/writeups/7th-place-solution-ensemble-of-two-protenix-model"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding/writeups/8th-solution"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding/writeups/10th-place-solution-d4t4-team"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding/writeups/10th-place-solution-how-we-ensemble"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/stanford-rna-3d-folding/writeups/25th-place-solution"
kind: "description"
- number: "668"
title: "BigQuery AI - Building the Future of Data"
desc: "Build AI solutions with BigQuery"
kind: "Featured"
prize: "$100,000"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/bigquery-ai-hackathon"
image: "/logos/110281.webp"
year: "2025"
isHot: "false"
done: "false"
solutions:
- number: "667"
title: "NeurIPS - Open Polymer Prediction 2025"
desc: "Predicting polymer properties with machine learning to accelerate sustainable materials research."
kind: "Featured"
prize: "$50,000"
team: "1,204"
metric: "open_polymer_2025"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025"
image: "/logos/74608.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/1st-place-solution"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/2nd-place-solution"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/4th-place-solution-lightgbm-with-smiles-derived-fe"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/a-hybrid-physicsmachine-learning-framework-for-pol"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/6th-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/8th-place-solution-no-tg-post-processing"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/10th-place-solution-a-feature-centric-approach-wit"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/private-lb-0-083-gnn-embeddings-stacking-ensemble"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/random-forest-using-xgboost"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/20th-place-solution-neurips-open-polymer-predictio"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/24th-place-solution-2-stage-autogluon-and-xgb"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/11-public-27-private-lb-solution-gnngreamlptabpfnx"
kind: "description"
- rank: "39"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/fine-tuning-of-transpolymer-for-polymer-property-p"
kind: "description"
- rank: "42"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/pb-42nd-lb-30th-place-solution-lb-0-060-pb"
kind: "description"
- rank: "46"
link: "https://www.kaggle.com/c/neurips-open-polymer-prediction-2025/writeups/38-public-46-private-lb-solution-uni-molxgb"
kind: "description"
- number: "666"
title: "Make Data Count - Finding Data References"
desc: "Identify scientific data use in papers and classify how they are mentioned."
kind: "Research"
prize: "$100,000"
team: "1,282"
metric: "82370_MDC_Global_F1"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references"
image: "/logos/82370.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/1st-place-solution"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/2nd-place-solution"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/4th-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/5th-place-by-standing-on-the-shoulders-of-giants"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/6th-place-solution"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/7th-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/8th-place-solution"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/9th-place-solution"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/tricks-10char"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/11th-place-solution"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/12th-place-solution"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/13th-place-solution"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/shake-down-solution"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/20th-place-solution-regex-qwen-deberta-for-mdc"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/23-place-solution-ml"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/25th-place-solution-summary"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/28th-place-solution"
kind: "description"
- rank: "40"
link: "https://www.kaggle.com/c/make-data-count-finding-data-references/writeups/41th-place-solution"
kind: "description"
- number: "665"
title: "CMI - Detect Behavior with Sensor Data"
desc: "Predicting Body Focused Repetitive Behaviors from a Wrist-Worn Device"
kind: "Featured"
prize: "$50,000"
team: "2,657"
metric: "CMI_2025"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data"
image: "/logos/102335.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/cmi-1st-place-solution"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/2nd-place-solution"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/4th-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/5th-solution"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/6th-place-solution"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/7th-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/8th-place-solution-and-competition-walkthrough"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/9th-place-solution"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/10th-place-solution"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/11th-place-solution"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/13th-place-solution"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/14th-place-solution"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/15th-place-solution"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/17th-place-solution"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/en-19th-solution-writeup-19"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/29th-place-solution-handedness-augmentation-trick"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/30th-place-solution-vision-transformer"
kind: "description"
- rank: "35"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/35th-place-solution"
kind: "description"
- rank: "39"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/39th-place-solution"
kind: "description"
- rank: "42"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/42th-solution-late-sub-private0-854"
kind: "description"
- rank: "48"
link: "https://www.kaggle.com/c/cmi-detect-behavior-with-sensor-data/writeups/48th-place-solution"
kind: "description"
- number: "664"
title: "Playground Series - Season 5, Episode 8"
desc: "Binary Classification with a Bank Dataset"
kind: "Playground"
prize: "Swag"
team: "3,365"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/playground-series-s5e8"
image: "/logos/91719.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/2nd-place-yet-another-ensemble"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/3rd-place-solution-oof-stacking-autogluon"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/4th-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/rank-3-public-rank-5-private-approach"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/6th-place-solution-oof-stacking-with-lgbm"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/8th-place-hill-climb-selected-meta-learners"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/10th-place-node-neural-oblivious-decision-ensemble"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/11th-place-solution-autogluon-with-two-feature-set"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/12th-place-solution-stacking-with-xgb-and-nn"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/15-solution-try-genetic-programming-features"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/17-place-solution"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/19th-place-solution-108-oofs-blending-with-ridgecv"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/21st-place-solution"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/playground-series-s5e8/writeups/top25"
kind: "description"
- number: "663"
title: "Red‑Teaming Challenge - OpenAI gpt-oss-20b"
desc: "Find any flaws and vulnerabilities in gpt-oss-20b that have not been previously discovered or reported."
kind: "Featured"
prize: "$500,000"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/openai-gpt-oss-20b-red-teaming"
image: "/logos/106949.webp"
year: "2025"
isHot: "false"
done: "false"
solutions:
- number: "662"
title: "Google - The Gemma 3n Impact Challenge"
desc: "Explore the newest Gemma model and build your best products for a better world"
kind: "Featured"
prize: "$150,000"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/google-gemma-3n-hackathon"
image: "/logos/105267.webp"
year: "2025"
isHot: "false"
done: "false"
solutions:
- number: "661"
title: "Playground Series - Season 5, Episode 7"
desc: "Predict the Introverts from the Extroverts"
kind: "Playground"
prize: "Swag"
team: "4,329"
metric: "Accuracy Score"
link: "https://www.kaggle.com/c/playground-series-s5e7"
image: "/logos/91718.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "42"
link: "https://www.kaggle.com/c/playground-series-s5e7/writeups/3rd-place-solution-predict-the-introverts-from-the"
kind: "description"
- number: "660"
title: "Konwinski Prize"
desc: "$1M for the Al that can close 90% of new GitHub issues"
kind: "Featured"
prize: "$1,225,000"
team: "617"
metric: "-"
link: "https://www.kaggle.com/c/konwinski-prize"
image: "/logos/84795.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/konwinski-prize/writeups/eduardo-rocha-de-andrade-1st-place-solution-write-"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/konwinski-prize/writeups/camaro-public-2nd-place-solution"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/konwinski-prize/writeups/3rd-place-solution"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/konwinski-prize/writeups/4th-place-solution"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/konwinski-prize/writeups/5th-place-solution"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/konwinski-prize/writeups/first-lucky-gold-8th-place-solution"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/konwinski-prize/writeups/graphninjas-public-4th-place-private-15th-place-so"
kind: "description"
- number: "659"
title: "Meta Kaggle Hackathon"
desc: "Dive into data about Kaggle and share your best meta-analyses & meta-applications"
kind: "Featured"
prize: "$50,000"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/meta-kaggle-hackathon"
image: "/logos/100890.webp"
year: "2025"
isHot: "false"
done: "false"
solutions:
- number: "658"
title: "Jane Street Real-Time Market Data Forecasting"
desc: "Predict financial market responders using real-world data."
kind: "Featured"
prize: "$120,000"
team: "3,757"
metric: "weighted zero-mean R-squared score"
link: "https://www.kaggle.com/c/jane-street-real-time-market-data-forecasting"
image: "/logos/84493.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "8"
link: "https://www.kaggle.com/c/jane-street-real-time-market-data-forecasting/writeups/evgeniia-grigoreva-private-lb-8th-solution"
kind: "description"
- number: "657"
title: "Playground Series - Season 5, Episode 6"
desc: "Predicting Optimal Fertilizers"
kind: "Playground"
prize: "Swag"
team: "2,648"
metric: "MAP@{K}"
link: "https://www.kaggle.com/c/playground-series-s5e6"
image: "/logos/91717.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s5e6/discussion/587393"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s5e6/discussion/587398"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s5e6/discussion/587464"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s5e6/discussion/587405"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s5e6/discussion/587392"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s5e6/discussion/587414"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/playground-series-s5e6/discussion/587573"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/playground-series-s5e6/discussion/587739"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/playground-series-s5e6/discussion/587409"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/playground-series-s5e6/discussion/587476"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/playground-series-s5e6/discussion/587391"
kind: "description"
- number: "656"
title: " Yale/UNC-CH - Geophysical Waveform Inversion"
desc: "Develop physics-guided machine learning models to solve full-waveform inversion problems"
kind: "Research"
prize: "$50,000"
team: "1,365"
metric: "Mean Absolute Error"
link: "https://www.kaggle.com/c/waveform-inversion"
image: "/logos/39763.webp"
year: "2025"
isHot: "false"
done: "false"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587388"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587950"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587419"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587500"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587443"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587460"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587498"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587412"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587404"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587529"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587511"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587402"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587417"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587390"
kind: "description"
- rank: "45"
link: "https://www.kaggle.com/c/waveform-inversion/discussion/587553"
kind: "description"
- number: "655"
title: "OpenAI to Z Challenge"
desc: "Use OpenAI o3/o4 mini and GPT 4.1 models to discover previously unknown archaeological sites"
kind: "Featured"
prize: "$400,000"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/openai-to-z-challenge"
image: "/logos/101597.webp"
year: "2025"
isHot: "false"
done: "false"
solutions:
- number: "654"
title: "BirdCLEF+ 2025"
desc: "Species identification from audio, focused on birds, amphibians, mammals and insects from the Middle Magdalena Valley of Colombia."
kind: "Research"
prize: "$50,000"
team: "2,025"
metric: "Birdclef ROC AUC"
link: "https://www.kaggle.com/c/birdclef-2025"
image: "/logos/91844.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583577"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583699"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583477"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/584034"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583312"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583381"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/584015"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583365"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583310"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583384"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583592"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583457"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583344"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583306"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583377"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583387"
kind: "description"
- rank: "38"
link: "https://www.kaggle.com/c/birdclef-2025/discussion/583447"
kind: "description"
- number: "653"
title: "BYU - Locating Bacterial Flagellar Motors 2025"
desc: "Help locate flagellar motors in three-dimensional reconstructions of bacteria."
kind: "Research"
prize: "$65,000"
team: "1,136"
metric: "BYU_BioPhysics_91249"
link: "https://www.kaggle.com/c/byu-locating-bacterial-flagellar-motors-2025"
image: "/logos/91249.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/byu-locating-bacterial-flagellar-motors-2025/discussion/583143"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/byu-locating-bacterial-flagellar-motors-2025/discussion/584980"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/byu-locating-bacterial-flagellar-motors-2025/discussion/583380"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/byu-locating-bacterial-flagellar-motors-2025/discussion/583411"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/byu-locating-bacterial-flagellar-motors-2025/discussion/587410"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/byu-locating-bacterial-flagellar-motors-2025/discussion/583242"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/byu-locating-bacterial-flagellar-motors-2025/discussion/583164"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/byu-locating-bacterial-flagellar-motors-2025/discussion/583144"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/byu-locating-bacterial-flagellar-motors-2025/discussion/583128"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/byu-locating-bacterial-flagellar-motors-2025/discussion/583289"
kind: "description"
- rank: "44"
link: "https://www.kaggle.com/c/byu-locating-bacterial-flagellar-motors-2025/discussion/583294"
kind: "description"
- number: "652"
title: "Image Matching Challenge 2025"
desc: "Reconstruct 3D scenes from messy image collections."
kind: "Research"
prize: "$50,000"
team: "943"
metric: "IMC 2025 Metric"
link: "https://www.kaggle.com/c/image-matching-challenge-2025"
image: "/logos/91498.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/583058"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/583683"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/583401"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/582959"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/583711"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/583076"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/583184"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/582844"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/583464"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/582898"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/583097"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/583185"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/583977"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/image-matching-challenge-2025/discussion/582810"
kind: "description"
- number: "651"
title: "Playground Series - Season 5, Episode 5"
desc: "Predict Calorie Expenditure"
kind: "Playground"
prize: "Swag"
team: "4,316"
metric: "Mean Squared Log Error"
link: "https://www.kaggle.com/c/playground-series-s5e5"
image: "/logos/91716.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582611"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582700"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582848"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582594"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582564"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582518"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582591"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582631"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582596"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582546"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582604"
kind: "description"
- rank: "38"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582892"
kind: "description"
- rank: "40"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582556"
kind: "description"
- rank: "43"
link: "https://www.kaggle.com/c/playground-series-s5e5/discussion/582806"
kind: "description"
- number: "650"
title: "Drawing with LLMs"
desc: "Build and submit Kaggle Packages capable of generating SVG images of specific concepts"
kind: "Featured"
prize: "$50,000"
team: "1,309"
metric: "SVG Image Fidelity"
link: "https://www.kaggle.com/c/drawing-with-llms"
image: "/logos/89659.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581027"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581023"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581024"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581108"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581128"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581095"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581061"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581213"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581032"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581063"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581051"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581094"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/582286"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581069"
kind: "description"
- rank: "44"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/581194"
kind: "description"
- rank: "45"
link: "https://www.kaggle.com/c/drawing-with-llms/discussion/582242"
kind: "description"
- number: "649"
title: "Playground Series - Season 5, Episode 4"
desc: "Predict Podcast Listening Time"
kind: "Playground"
prize: "Swag"
team: "3,310"
metric: "Mean Squared Error"
link: "https://www.kaggle.com/c/playground-series-s5e4"
image: "/logos/91715.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s5e4/discussion/575784"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s5e4/discussion/575840"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s5e4/discussion/575862"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s5e4/discussion/575782"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s5e4/discussion/575839"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s5e4/discussion/575783"
kind: "description"
- number: "648"
title: "March Machine Learning Mania 2025"
desc: "Forecast the 2025 NCAA Basketball Tournaments"
kind: "Featured"
prize: "$50,000"
team: "1,727"
metric: "Mean Squared Error"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2025"
image: "/logos/91497.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2025/discussion/572717"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2025/discussion/572528"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2025/discussion/572553"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2025/discussion/572466"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2025/discussion/572909"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2025/discussion/572482"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2025/discussion/572540"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2025/discussion/572535"
kind: "description"
- number: "647"
title: "Al Mathematical Olympiad - Progress Prize 2"
desc: "Solve national-level math challenges using artificial intelligence models"
kind: "Featured"
prize: "$2,117,152"
team: "2,212"
metric: "Accuracy Score"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2"
image: "/logos/86023.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2/discussion/574765"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2/discussion/572948"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2/discussion/573314"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2/discussion/573671"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2/discussion/574262"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2/discussion/572760"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2/discussion/571356"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2/discussion/571252"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2/discussion/573086"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2/discussion/573071"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2/discussion/575172"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-progress-prize-2/discussion/571289"
kind: "description"
- number: "646"
title: "Playground Series - Season 5, Episode 3"
desc: "Binary Prediction with a Rainfall Dataset"
kind: "Playground"
prize: "Swag"
team: "4,381"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/playground-series-s5e3"
image: "/logos/91714.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s5e3/discussion/571176"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s5e3/discussion/571216"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/playground-series-s5e3/discussion/571021"
kind: "description"
- rank: "37"
link: "https://www.kaggle.com/c/playground-series-s5e3/discussion/571139"
kind: "description"
- number: "645"
title: "NeurIPS 2024 - Lux AI Season 3"
desc: "Deep space exploration!"
kind: "Featured"
prize: "$50,000"
team: "701"
metric: "Lux AI Season 3"
link: "https://www.kaggle.com/c/lux-ai-season-3"
image: "/logos/86411.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/lux-ai-season-3/discussion/569562"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/lux-ai-season-3/discussion/568621"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/lux-ai-season-3/discussion/568494"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/lux-ai-season-3/discussion/569928"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/lux-ai-season-3/discussion/571111"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/lux-ai-season-3/discussion/570673"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/lux-ai-season-3/discussion/568789"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/lux-ai-season-3/discussion/570196"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/lux-ai-season-3/discussion/567961"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/lux-ai-season-3/discussion/567581"
kind: "description"
- number: "644"
title: "WSDM Cup - Multilingual Chatbot Arena"
desc: "Predict human preference across multiple languages from real votes in the Chatbot Arena."
kind: "Featured"
prize: "$50,000"
team: "950"
metric: "Accuracy Score"
link: "https://www.kaggle.com/c/wsdm-cup-multilingual-chatbot-arena"
image: "/logos/86946.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/wsdm-cup-multilingual-chatbot-arena/discussion/569902"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/wsdm-cup-multilingual-chatbot-arena/discussion/567948"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/wsdm-cup-multilingual-chatbot-arena/discussion/567584"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/wsdm-cup-multilingual-chatbot-arena/discussion/568522"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/wsdm-cup-multilingual-chatbot-arena/discussion/567856"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/wsdm-cup-multilingual-chatbot-arena/discussion/567600"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/wsdm-cup-multilingual-chatbot-arena/discussion/567614"
kind: "description"
- rank: "34"
link: "https://www.kaggle.com/c/wsdm-cup-multilingual-chatbot-arena/discussion/568535"
kind: "description"
- number: "643"
title: "FIDE & Google Efficient Chess AI Challenge"
desc: "Create agents to play chess with resource constraints"
kind: "Featured"
prize: "$50,000"
team: "1,120"
metric: "Chess"
link: "https://www.kaggle.com/c/fide-google-efficiency-chess-ai-challenge"
image: "/logos/86524.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/fide-google-efficiency-chess-ai-challenge/discussion/571023"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/fide-google-efficiency-chess-ai-challenge/discussion/569891"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/fide-google-efficiency-chess-ai-challenge/discussion/569874"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/fide-google-efficiency-chess-ai-challenge/discussion/563173"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/fide-google-efficiency-chess-ai-challenge/discussion/567106"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/fide-google-efficiency-chess-ai-challenge/discussion/563866"
kind: "description"
- rank: "49"
link: "https://www.kaggle.com/c/fide-google-efficiency-chess-ai-challenge/discussion/566862"
kind: "description"
- number: "642"
title: "CIBMTR - Equity in post-HCT Survival Predictions"
desc: "Improve prediction of transplant survival rates equitably for allogeneic HCT patients"
kind: "Research"
prize: "$50,000"
team: "3,325"
metric: "eefs_concordance_index"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions"
image: "/logos/70942.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566550"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566522"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566574"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566528"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/568339"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566686"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566948"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566624"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566584"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566756"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/567643"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566769"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566677"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566685"
kind: "description"
- rank: "32"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/567112"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566572"
kind: "description"
- rank: "34"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566858"
kind: "description"
- rank: "35"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566675"
kind: "description"
- rank: "36"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566595"
kind: "description"
- rank: "43"
link: "https://www.kaggle.com/c/equity-post-HCT-survival-predictions/discussion/566577"
kind: "description"
- number: "641"
title: "LLMs - You Cant Please Them All"
desc: "Are LLM-judges robust to adversarial inputs?"
kind: "Featured"
prize: "$50,000"
team: "1,692"
metric: "LLMYCPTA metric 20241120"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all"
image: "/logos/83035.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566372"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566602"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566515"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566479"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566322"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566643"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566333"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566469"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566386"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566380"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/567031"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566324"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566404"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566345"
kind: "description"
- rank: "39"
link: "https://www.kaggle.com/c/llms-you-cant-please-them-all/discussion/566376"
kind: "description"
- number: "640"
title: "Playground Series - Season 5, Episode 2"
desc: "Backpack Prediction Challenge"
kind: "Playground"
prize: "Swag"
team: "3,393"
metric: "Mean Squared Error"
link: "https://www.kaggle.com/c/playground-series-s5e2"
image: "/logos/90274.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s5e2/discussion/565539"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s5e2/discussion/565542"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s5e2/discussion/565653"
kind: "description"
- number: "639"
title: "CZII - CryoET Object Identification"
desc: "Find small biological structures in large 3D volumes"
kind: "Featured"
prize: "$75,000"
team: "931"
metric: "CZI_CryoET_ 84969"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification"
image: "/logos/84969.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561510"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561568"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561417"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561401"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561580"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561518"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561447"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561515"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561431"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561844"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561837"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561607"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561422"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561444"
kind: "description"
- rank: "23"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561620"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561483"
kind: "description"
- rank: "32"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561677"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561402"
kind: "description"
- rank: "43"
link: "https://www.kaggle.com/c/czii-cryo-et-object-identification/discussion/561957"
kind: "description"
- number: "638"
title: "Santa 2024 - The Perplexity Permutation Puzzle"
desc: "Help Rudolph descramble holiday-related words to make the LLMs happy!"
kind: "Featured"
prize: "$50,000"
team: "1,514"
metric: "Santa 2024 Metric"
link: "https://www.kaggle.com/c/santa-2024"
image: "/logos/88046.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/santa-2024/discussion/560560"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/santa-2024/discussion/560540"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/santa-2024/discussion/560620"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/santa-2024/discussion/560536"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/santa-2024/discussion/560597"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/santa-2024/discussion/561091"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/santa-2024/discussion/560601"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/santa-2024/discussion/560531"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/santa-2024/discussion/560542"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/santa-2024/discussion/560683"
kind: "description"
- rank: "23"
link: "https://www.kaggle.com/c/santa-2024/discussion/560616"
kind: "description"
- number: "637"
title: "Playground Series - Season 5, Episode 1"
desc: "Forecasting Sticker Sales"
kind: "Playground"
prize: "Swag"
team: "2,722"
metric: "Mean Absolute Percentage Error"
link: "https://www.kaggle.com/c/playground-series-s5e1"
image: "/logos/85723.webp"
year: "2025"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s5e1/discussion/560629"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s5e1/discussion/560549"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s5e1/discussion/560535"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s5e1/discussion/560692"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s5e1/discussion/560554"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s5e1/discussion/560653"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/playground-series-s5e1/discussion/560569"
kind: "description"
- number: "636"
title: "Google - Unlock Global Communication with Gemma"
desc: "Create Gemma model variants for a specific language or unique cultural aspect"
kind: "Analytics"
prize: "$150,000"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/gemma-language-tuning"
image: "/logos/85416.webp"
year: "2025"
isHot: "false"
done: "false"
solutions:
- number: "635"
title: "NFL Big Data Bowl 2025"
desc: "Help use pre-snap behavior to predict and better understand NFL team and player tendencies"
kind: "Analytics"
prize: "$100,000"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/nfl-big-data-bowl-2025"
image: "/logos/15696.webp"
year: "2025"
isHot: "false"
done: "false"
solutions:
- number: "634"
title: "Playground Series - Season 4, Episode 12"
desc: "Regression with an Insurance Dataset"
kind: "Playground"
prize: "Swag"
team: "2,390"
metric: "Root Mean Squared Logarithmic Error"
link: "https://www.kaggle.com/c/playground-series-s4e12"
image: "/logos/84896.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s4e12/discussion/554328"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s4e12/discussion/554505"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/playground-series-s4e12/discussion/554377"
kind: "description"
- number: "633"
title: "Child Mind Institute — Problematic Internet Use"
desc: "Relating Physical Activity to Problematic Internet Use"
kind: "Featured"
prize: "$60,000"
team: "3,559"
metric: "Cohen Kappa Score"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use"
image: "/logos/81933.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/552638"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/552712"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/552677"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/552861"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/552656"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/553146"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/552625"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/552760"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/552890"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/553030"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/552517"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/552569"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/child-mind-institute-problematic-internet-use/discussion/552513"
kind: "description"
- number: "632"
title: " Eedi - Mining Misconceptions in Mathematics"
desc: "Predict affinity between misconceptions and incorrect answers (distractors) in multiple-choice questions"
kind: "Featured"
prize: "$55,000"
team: "1,446"
metric: "MAP@{K}"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics"
image: "/logos/82695.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551688"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551651"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551498"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551559"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551391"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551565"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551388"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551412"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551420"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551722"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551424"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551429"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551673"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551492"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551501"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551406"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/551409"
kind: "description"
- rank: "31"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/553317"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/eedi-mining-misconceptions-in-mathematics/discussion/552108"
kind: "description"
- number: "631"
title: "UM - Game-Playing Strength of MCTS Variants"
desc: "Predict which variants of Monte-Carlo Tree Search will perform well or poorly against each other in hundreds of board games"
kind: "Research"
prize: "$50,000"
team: "1,608"
metric: "Mean Squared Error"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants"
image: "/logos/70089.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549801"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549718"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549588"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549603"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549585"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549582"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549617"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549616"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549624"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549605"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549708"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549781"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549587"
kind: "description"
- rank: "32"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/549889"
kind: "description"
- rank: "37"
link: "https://www.kaggle.com/c/um-game-playing-strength-of-mcts-variants/discussion/550119"
kind: "description"
- number: "630"
title: "Google - Gemini Long Context"
desc: "Demonstrate interesting use cases for Geminis long context window"
kind: "Analytics"
prize: "$100,000"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/gemini-long-context"
image: "/logos/83735.webp"
year: "2024"
isHot: "false"
done: "false"
solutions:
- number: "629"
title: "Playground Series - Season 4, Episode 11"
desc: "Exploring Mental Health Data"
kind: "Playground"
prize: "Swag"
team: "2,685"
metric: "Accuracy Score"
link: "https://www.kaggle.com/c/playground-series-s4e11"
image: "/logos/84895.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s4e11/discussion/549160"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s4e11/discussion/549197"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/playground-series-s4e11/discussion/549155"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/playground-series-s4e11/discussion/549194"
kind: "description"
- number: "628"
title: "ARC Prize 2024"
desc: "Create an AI capable of solving reasoning tasks it has never seen before"
kind: "Featured"
prize: "$1,100,000"
team: "1,427"
metric: "Abstraction and Reasoning Challenge"
link: "https://www.kaggle.com/c/arc-prize-2024"
image: "/logos/67357.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/arc-prize-2024/discussion/545671"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/arc-prize-2024/discussion/550328"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/arc-prize-2024/discussion/550414"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/arc-prize-2024/discussion/550336"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/arc-prize-2024/discussion/546302"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/arc-prize-2024/discussion/550209"
kind: "description"
- rank: "34"
link: "https://www.kaggle.com/c/arc-prize-2024/discussion/545886"
kind: "description"
- number: "627"
title: "Playground Series - Season 4, Episode 10"
desc: "Loan Approval Prediction"
kind: "Playground"
prize: "Swag"
team: "3,858"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/playground-series-s4e10"
image: "/logos/84894.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s4e10/discussion/543725"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s4e10/discussion/543766"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s4e10/discussion/543672"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s4e10/discussion/543772"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/playground-series-s4e10/discussion/543735"
kind: "description"
- number: "626"
title: "NeurIPS - Ariel Data Challenge 2024"
desc: "Derive exoplanet signals from Ariels optical instruments"
kind: "Featured"
prize: "$50,000"
team: "1,151"
metric: "Ariel Gaussian Log Likelihood"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024"
image: "/logos/70367.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/544317"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543853"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543944"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/544471"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543760"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543666"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543679"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543776"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543983"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/544189"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543754"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543763"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543675"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543855"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/545162"
kind: "description"
- rank: "23"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543749"
kind: "description"
- rank: "32"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543676"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543770"
kind: "description"
- rank: "37"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/544026"
kind: "description"
- rank: "39"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543682"
kind: "description"
- rank: "40"
link: "https://www.kaggle.com/c/ariel-data-challenge-2024/discussion/543697"
kind: "description"
- number: "625"
title: "RSNA 2024 Lumbar Spine Degenerative Classification"
desc: "Classify lumbar spine degenerative conditions"
kind: "Featured"
prize: "$50,000"
team: "1,874"
metric: "RSNA Lumbar Metric 71549"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification"
image: "/logos/71549.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/540091"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539452"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539453"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539443"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539472"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/541813"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539486"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539548"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539690"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539569"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/540001"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539510"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539459"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539981"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539744"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539494"
kind: "description"
- rank: "31"
link: "https://www.kaggle.com/c/rsna-2024-lumbar-spine-degenerative-classification/discussion/539555"
kind: "description"
- number: "624"
title: "Playground Series - Season 4, Episode 9"
desc: "Regression of Used Car Prices"
kind: "Playground"
prize: "Swag"
team: "3,066"
metric: "Mean Squared Error"
link: "https://www.kaggle.com/c/playground-series-s4e9"
image: "/logos/76728.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s4e9/discussion/537052"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s4e9/discussion/537349"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s4e9/discussion/537029"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s4e9/discussion/536973"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s4e9/discussion/537173"
kind: "description"
- number: "623"
title: "ISIC 2024 - Skin Cancer Detection with 3D-TBP"
desc: "Identify cancers among skin lesions cropped from 3D total body photographs"
kind: "Research"
prize: "$80,000"
team: "2,739"
metric: "ISIC pAUC-aboveTPR"
link: "https://www.kaggle.com/c/isic-2024-challenge"
image: "/logos/63056.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/533196"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532704"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532919"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532760"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/533056"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532868"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532687"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532728"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532577"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/533179"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532595"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532642"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532654"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532786"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532580"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/533005"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532723"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532564"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532620"
kind: "description"
- rank: "31"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/532593"
kind: "description"
- rank: "34"
link: "https://www.kaggle.com/c/isic-2024-challenge/discussion/533046"
kind: "description"
- number: "622"
title: "Playground Series - Season 4, Episode 8"
desc: "Binary Prediction of Poisonous Mushrooms"
kind: "Playground"
prize: "Swag"
team: "2,422"
metric: "Matthews Corrcoef"
link: "https://www.kaggle.com/c/playground-series-s4e8"
image: "/logos/76727.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s4e8/discussion/531823"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s4e8/discussion/523656"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s4e8/discussion/531330"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s4e8/discussion/531374"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/playground-series-s4e8/discussion/531424"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/playground-series-s4e8/discussion/531347"
kind: "description"
- number: "621"
title: "LLM 20 Questions"
desc: "Guess the secret word in this cooperative game of question asking and answering"
kind: "Featured"
prize: "$50,000"
team: "832"
metric: "llm_20_questions"
link: "https://www.kaggle.com/c/llm-20-questions"
image: "/logos/61247.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/llm-20-questions/discussion/531106"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/llm-20-questions/discussion/529643"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/llm-20-questions/discussion/531387"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/llm-20-questions/discussion/531883"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/llm-20-questions/discussion/531128"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/llm-20-questions/discussion/529525"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/llm-20-questions/discussion/531569"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/llm-20-questions/discussion/529931"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/llm-20-questions/discussion/531083"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/llm-20-questions/discussion/531104"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/llm-20-questions/discussion/531081"
kind: "description"
- rank: "45"
link: "https://www.kaggle.com/c/llm-20-questions/discussion/530996"
kind: "description"
- number: "620"
title: "LMSYS - Chatbot Arena Human Preference Predictions"
desc: "Predicting Human Preferences in the Wild"
kind: "Research"
prize: "$100,000"
team: "1,849"
metric: "Log Loss"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena"
image: "/logos/66631.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena/discussion/527629"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena/discussion/527685"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena/discussion/527766"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena/discussion/529067"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena/discussion/527669"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena/discussion/527704"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena/discussion/527596"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena/discussion/527595"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena/discussion/528288"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena/discussion/527627"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena/discussion/527673"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/lmsys-chatbot-arena/discussion/527591"
kind: "description"
- number: "619"
title: "Playground Series - Season 4, Episode 7"
desc: "Binary Classification of Insurance Cross Selling"
kind: "Playground"
prize: "Swag"
team: "2,234"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/playground-series-s4e7"
image: "/logos/73291.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s4e7/discussion/523404"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s4e7/discussion/523489"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s4e7/discussion/523661"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s4e7/discussion/523484"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s4e7/discussion/523486"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/playground-series-s4e7/discussion/523403"
kind: "description"
- number: "618"
title: "USPTO - Explainable AI for Patent Professionals"
desc: "Help patent professionals understand AI results through a familiar query language"
kind: "Featured"
prize: "$50,000"
team: "571"
metric: "USPTO 59575"
link: "https://www.kaggle.com/c/uspto-explainable-ai"
image: "/logos/59575.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522233"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522258"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522639"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522200"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522201"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522202"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522199"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522208"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522207"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522301"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522359"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522380"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522327"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522415"
kind: "description"
- rank: "32"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522214"
kind: "description"
- rank: "42"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522347"
kind: "description"
- rank: "47"
link: "https://www.kaggle.com/c/uspto-explainable-ai/discussion/522205"
kind: "description"
- number: "617"
title: "LEAP - Atmospheric Physics using AI (ClimSim)"
desc: "Simulate higher resolution atmospheric processes within E3SM-MMF, a climate model supported by the U.S. Department of Energy"
kind: "Research"
prize: "$50,000"
team: "693"
metric: "R2 Score"
link: "https://www.kaggle.com/c/leap-atmospheric-physics-ai-climsim"
image: "/logos/56537.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/leap-atmospheric-physics-ai-climsim/discussion/523063"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/leap-atmospheric-physics-ai-climsim/discussion/523055"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/leap-atmospheric-physics-ai-climsim/discussion/523077"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/leap-atmospheric-physics-ai-climsim/discussion/524111"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/leap-atmospheric-physics-ai-climsim/discussion/523223"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/leap-atmospheric-physics-ai-climsim/discussion/523041"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/leap-atmospheric-physics-ai-climsim/discussion/523087"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/leap-atmospheric-physics-ai-climsim/discussion/523129"
kind: "description"
- rank: "47"
link: "https://www.kaggle.com/c/leap-atmospheric-physics-ai-climsim/discussion/523105"
kind: "description"
- number: "616"
title: "NeurIPS 2024 - Predict New Medicines with BELKA"
desc: "Predict small molecule-protein interactions using the Big Encoded Library for Chemical Assessment (BELKA)"
kind: "Featured"
prize: "$50,000"
team: "1,950"
metric: "Leash Average mAP"
link: "https://www.kaggle.com/c/leash-BELKA"
image: "/logos/67356.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/leash-BELKA/discussion/519020"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/leash-BELKA/discussion/521894"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/leash-BELKA/discussion/519815"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/leash-BELKA/discussion/518993"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/leash-BELKA/discussion/519133"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/leash-BELKA/discussion/518951"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/leash-BELKA/discussion/519191"
kind: "description"
- number: "615"
title: "Learning Agency Lab - Automated Essay Scoring 2.0"
desc: "Improve upon essay scoring algorithms to improve student learning outcomes"
kind: "Featured"
prize: "$50,000"
team: "2,706"
metric: "Cohen Kappa Score"
link: "https://www.kaggle.com/c/learning-agency-lab-automated-essay-scoring-2"
image: "/logos/71485.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/learning-agency-lab-automated-essay-scoring-2/discussion/516791"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/learning-agency-lab-automated-essay-scoring-2/discussion/516791"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/learning-agency-lab-automated-essay-scoring-2/discussion/517014"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/learning-agency-lab-automated-essay-scoring-2/discussion/516639"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/learning-agency-lab-automated-essay-scoring-2/discussion/516922"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/learning-agency-lab-automated-essay-scoring-2/discussion/516814"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/learning-agency-lab-automated-essay-scoring-2/discussion/516872"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/learning-agency-lab-automated-essay-scoring-2/discussion/516642"
kind: "description"
- number: "614"
title: "Playground Series - Season 4, Episode 6"
desc: "Classification with an Academic Success Dataset"
kind: "Playground"
prize: "Swag"
team: "2,684"
metric: "Accuracy Score"
link: "https://www.kaggle.com/c/playground-series-s4e6"
image: "/logos/73290.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s4e6/discussion/515989"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/playground-series-s4e6/discussion/515980"
kind: "description"
- number: "613"
title: "AI Mathematical Olympiad - Progress Prize 1"
desc: "Solve national-level math challenges using artificial intelligence models"
kind: "Featured"
prize: "$1,048,576"
team: "1,161"
metric: "Accuracy Score"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-prize"
image: "/logos/73231.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-prize/discussion/519303"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-prize/discussion/518964"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-prize/discussion/517206"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-prize/discussion/518960"
kind: "description"
- rank: "36"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-prize/discussion/516966"
kind: "description"
- rank: "41"
link: "https://www.kaggle.com/c/ai-mathematical-olympiad-prize/discussion/516868"
kind: "description"
- number: "612"
title: "BirdCLEF 2024"
desc: "Bird species identification from audio, focused on under-studied species in the Western Ghats, a major biodiversity hotspot in India."
kind: "Research"
prize: "$50,000"
team: "974"
metric: "Birdclef ROC AUC"
link: "https://www.kaggle.com/c/birdclef-2024"
image: "/logos/70203.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/512197"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/512340"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/511905"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/511845"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/511535"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/511527"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/511540"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/511528"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/511510"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/511596"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/511499"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/511559"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/511851"
kind: "description"
- rank: "31"
link: "https://www.kaggle.com/c/birdclef-2024/discussion/511567"
kind: "description"
- number: "611"
title: "Image Matching Challenge 2024 - Hexathlon"
desc: "Reconstruct 3D scenes from 2D images over six different domains"
kind: "Research"
prize: "$50,000"
team: "929"
metric: "mAA-on-camera-centers-with-registration"
link: "https://www.kaggle.com/c/image-matching-challenge-2024"
image: "/logos/71885.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/510084"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/510499"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/510338"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/510611"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/510603"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/511291"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/509902"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/515089"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/510673"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/510295"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/509883"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/509918"
kind: "description"
- rank: "39"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/510373"
kind: "description"
- rank: "48"
link: "https://www.kaggle.com/c/image-matching-challenge-2024/discussion/511507"
kind: "description"
- number: "610"
title: "PlantTraits2024 - FGVC11"
desc: "Uncovering the biosphere; Predicting 6 Vital Plant Traits from Plant Images for Ecosystem Health"
kind: "Research"
prize: "Knowledge"
team: "398"
metric: "R2 Score"
link: "https://www.kaggle.com/c/planttraits2024"
image: "/logos/65626.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/planttraits2024/discussion/510393"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/planttraits2024/discussion/510143"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/planttraits2024/discussion/510188"
kind: "description"
- number: "609"
title: "Playground Series - Season 4, Episode 5"
desc: "Regression with a Flood Prediction Dataset"
kind: "Playground"
prize: "Swag"
team: "2,788"
metric: "R2 Score"
link: "https://www.kaggle.com/c/playground-series-s4e5"
image: "/logos/73278.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s4e5/discussion/509043"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s4e5/discussion/509410"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s4e5/discussion/509044"
kind: "description"
- number: "608"
title: "Home Credit - Credit Risk Model Stability"
desc: "Create a model measured against feature stability over time"
kind: "Featured"
prize: "$105,000"
team: "3,856"
metric: "Home Credit 2023 - Gini Stability"
link: "https://www.kaggle.com/c/home-credit-credit-risk-model-stability"
image: "/logos/50160.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/home-credit-credit-risk-model-stability/discussion/508337"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/home-credit-credit-risk-model-stability/discussion/508113"
kind: "description"
- number: "607"
title: "GeoLifeCLEF 2024 @ LifeCLEF & CVPR-FGVC"
desc: "Location-based species presence prediction"
kind: "Research"
prize: "Knowledge"
team: "51"
metric: "F-Score Beta (Micro)"
link: "https://www.kaggle.com/c/geolifeclef-2024"
image: "/logos/64733.webp"
year: "2024"
isHot: "false"
done: "false"
solutions:
- number: "606"
title: "Playground Series - Season 4, Episode 4"
desc: "Regression with an Abalone Dataset"
kind: "Playground"
prize: "Swag"
team: "2,606"
metric: "Mean Squared Log Error"
link: "https://www.kaggle.com/c/playground-series-s4e4"
image: "/logos/72489.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s4e4/discussion/499174"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s4e4/discussion/499698"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s4e4/discussion/499747"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s4e4/discussion/499341"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s4e4/discussion/499204"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s4e4/discussion/499258"
kind: "description"
- number: "605"
title: "Enefit - Predict Energy Behavior of Prosumers"
desc: "Predict Prosumer Energy Patterns and Minimize Imbalance Costs."
kind: "Featured"
prize: "$50,000"
team: "2,731"
metric: "Mean Absolute Error"
link: "https://www.kaggle.com/c/predict-energy-behavior-of-prosumers"
image: "/logos/57236.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/predict-energy-behavior-of-prosumers/discussion/472793"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/predict-energy-behavior-of-prosumers/discussion/499938"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/predict-energy-behavior-of-prosumers/discussion/499397"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/predict-energy-behavior-of-prosumers/discussion/499649"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/predict-energy-behavior-of-prosumers/discussion/472537"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/predict-energy-behavior-of-prosumers/discussion/499364"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/predict-energy-behavior-of-prosumers/discussion/499475"
kind: "description"
- rank: "37"
link: "https://www.kaggle.com/c/predict-energy-behavior-of-prosumers/discussion/499358"
kind: "description"
- rank: "39"
link: "https://www.kaggle.com/c/predict-energy-behavior-of-prosumers/discussion/472598"
kind: "description"
- number: "604"
title: "The Learning Agency Lab - PII Data Detection"
desc: "Develop automated techniques to detect and remove PII from educational data."
kind: "Featured"
prize: "$60,000"
team: "2,048"
metric: "TLAL_F_beta"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data"
image: "/logos/66653.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497374"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497352"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497482"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497367"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497306"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/498304"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497310"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497177"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/498130"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497371"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497968"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497258"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497180"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497220"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497187"
kind: "description"
- rank: "37"
link: "https://www.kaggle.com/c/pii-detection-removal-from-educational-data/discussion/497293"
kind: "description"
- number: "603"
title: "LLM Prompt Recovery"
desc: "Recover the prompt used to transform a given text"
kind: "Featured"
prize: "$200,000"
team: "2,175"
metric: "LLM Nerd-Off Sharpened Cosine Similarity"
link: "https://www.kaggle.com/c/llm-prompt-recovery"
image: "/logos/67121.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/llm-prompt-recovery/discussion/494343"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/llm-prompt-recovery/discussion/494497"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/llm-prompt-recovery/discussion/494621"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/llm-prompt-recovery/discussion/494362"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/llm-prompt-recovery/discussion/499079"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/llm-prompt-recovery/discussion/494755"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/llm-prompt-recovery/discussion/494650"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/llm-prompt-recovery/discussion/494689"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/llm-prompt-recovery/discussion/494526"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/llm-prompt-recovery/discussion/494536"
kind: "description"
- rank: "42"
link: "https://www.kaggle.com/c/llm-prompt-recovery/discussion/494641"
kind: "description"
- number: "602"
title: "Google – AI Assistants for Data Tasks with Gemma"
desc: "Build tools to assist Kaggle developers"
kind: "Analytics"
prize: "$50,000"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/data-assistants-with-gemma"
image: "/logos/64148.webp"
year: "2024"
isHot: "false"
done: "false"
solutions:
- number: "601"
title: "March Machine Learning Mania 2024"
desc: "Forecast the 2024 College Basketball Tournaments"
kind: "Featured"
prize: "$50,000"
team: "820"
metric: "Average Brier Bracket Score"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2024"
image: "/logos/70068.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2024/discussion/493793"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2024/discussion/492761"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2024/discussion/495101"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2024/discussion/494407"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2024/discussion/497162"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2024/discussion/497514"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2024/discussion/493841"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2024/discussion/493041"
kind: "description"
- number: "600"
title: "HMS - Harmful Brain Activity Classification "
desc: "Classify seizures and other patterns of harmful brain activity in critically ill patients"
kind: "Research"
prize: "$50,000"
team: "2,767"
metric: "Kullback Leibler Divergence"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification"
image: "/logos/59093.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492560"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492254"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492471"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492240"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492652"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492619"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492281"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492482"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492429"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492207"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492301"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492603"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/493093"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492193"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492251"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492211"
kind: "description"
- rank: "38"
link: "https://www.kaggle.com/c/hms-harmful-brain-activity-classification/discussion/492234"
kind: "description"
- number: "599"
title: "Playground Series - Season 4, Episode 3"
desc: "Steel Plate Defect Prediction"
kind: "Playground"
prize: "Swag"
team: "2,199"
metric: "Mean Columnwise Area Under Receiver Operating Characteristic Curve"
link: "https://www.kaggle.com/c/playground-series-s4e3"
image: "/logos/68699.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s4e3/discussion/488106"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s4e3/discussion/488127"
kind: "description"
- number: "598"
title: "Optiver - Trading at the Close"
desc: "Predict US stocks closing movements"
kind: "Featured"
prize: "$100,000"
team: "4,436"
metric: "Mean Columnwise Mean Absolute Error"
link: "https://www.kaggle.com/c/optiver-trading-at-the-close"
image: "/logos/OPT_Listing_Animated_4.gif"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/optiver-trading-at-the-close/discussion/487446"
kind: "description"
- rank: "7"
link: "https://github.com/nimashahbazi/optiver-trading-close?tab=readme-ov-file"
kind: "code"
- rank: "9"
link: "https://www.kaggle.com/c/optiver-trading-at-the-close/discussion/486868"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/optiver-trading-at-the-close/discussion/462653"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/optiver-trading-at-the-close/discussion/486086"
kind: "description"
- number: "597"
title: "Playground Series - Season 4, Episode 2"
desc: "Multi-Class Prediction of Obesity Risk"
kind: "Playground"
prize: "Swag"
team: "3,587"
metric: "Accuracy Score"
link: "https://www.kaggle.com/c/playground-series-s4e2"
image: "/logos/68479.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s4e2/discussion/480939"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s4e2/discussion/480795"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/playground-series-s4e2/discussion/482075"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/playground-series-s4e2/discussion/480927"
kind: "description"
- number: "596"
title: "SenNet + HOA - Hacking the Human Vasculature in 3D"
desc: "Segment vasculature in 3D scans of human kidney"
kind: "Research"
prize: "$80,000"
team: "1,149"
metric: "Surface Dice Metric"
link: "https://www.kaggle.com/c/blood-vessel-segmentation"
image: "/logos/61446.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/475522"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/475657"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/475074"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/475052"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/475288"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/475252"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/475964"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/475080"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/476457"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/475117"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/475260"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/475090"
kind: "description"
- rank: "41"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/478109"
kind: "description"
- rank: "46"
link: "https://www.kaggle.com/c/blood-vessel-segmentation/discussion/475050"
kind: "description"
- number: "595"
title: "Playground Series - Season 4, Episode 1"
desc: "Binary Classification with a Bank Churn Dataset"
kind: "Playground"
prize: "Swag"
team: "3,632"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/playground-series-s4e1"
image: "/logos/65711.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s4e1/discussion/472496"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s4e1/discussion/472413"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/playground-series-s4e1/discussion/472636"
kind: "description"
- number: "594"
title: "Santa 2023 - The Polytope Permutation Puzzle"
desc: "Solve twisty puzzles in the fewest moves"
kind: "Featured"
prize: "$50,000"
team: "1,054"
metric: "Santa 2023 Metric"
link: "https://www.kaggle.com/c/santa-2023"
image: "/logos/65704.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/santa-2023/discussion/472405"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/santa-2023/discussion/473094"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/santa-2023/discussion/472437"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/santa-2023/discussion/472489"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/santa-2023/discussion/472530"
kind: "description"
- number: "593"
title: "LLM - Detect AI Generated Text"
desc: "Identify which essay was written by a large language model"
kind: "Featured"
prize: "$110,000"
team: "4,358"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text"
image: "/logos/61542.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/473295"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470333"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470179"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470093"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/471831"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470643"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470224"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470255"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470396"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470593"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470193"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470061"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470181"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470148"
kind: "description"
- rank: "23"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470153"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470077"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470134"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470256"
kind: "description"
- rank: "34"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470353"
kind: "description"
- rank: "40"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/471898"
kind: "description"
- rank: "42"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/470290"
kind: "description"
- rank: "47"
link: "https://www.kaggle.com/c/llm-detect-ai-generated-text/discussion/471788"
kind: "description"
- number: "592"
title: "Linking Writing Processes to Writing Quality"
desc: "Use typing behavior to predict essay quality"
kind: "Featured"
prize: "$55,000"
team: "1,876"
metric: "Mean Squared Error"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality"
image: "/logos/59529.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/466873"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/466775"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/466906"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/466961"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/467848"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/466941"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/467328"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/466993"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/467674"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/466789"
kind: "description"
- rank: "23"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/466771"
kind: "description"
- rank: "36"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/466839"
kind: "description"
- rank: "38"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/466862"
kind: "description"
- rank: "42"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/466774"
kind: "description"
- rank: "44"
link: "https://www.kaggle.com/c/linking-writing-processes-to-writing-quality/discussion/466965"
kind: "description"
- number: "591"
title: "NFL Big Data Bowl 2024"
desc: "Help evaluate tackling tactics and strategy"
kind: "Analytics"
prize: "$100,000"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/nfl-big-data-bowl-2024"
image: "/logos/15696.webp"
year: "2024"
isHot: "false"
done: "false"
solutions:
- number: "590"
title: "UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)"
desc: "Navigating Ovarian Cancer; Unveiling Common Histotypes and Unearthing Rare Variants"
kind: "Research"
prize: "$50,000"
team: "1,326"
metric: "Balanced Accuracy Score"
link: "https://www.kaggle.com/c/UBC-OCEAN"
image: "/logos/45867.webp"
year: "2024"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465410"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465527"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465811"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/466017"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465379"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465697"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465382"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465815"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465455"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465358"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465476"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465356"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465425"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465619"
kind: "description"
- rank: "38"
link: "https://www.kaggle.com/c/UBC-OCEAN/discussion/465368"
kind: "description"
- number: "589"
title: "Playground Series - Season 3, Episode 26"
desc: "Multi-Class Prediction of Cirrhosis Outcomes"
kind: "Playground"
prize: "Swag"
team: "1,661"
metric: "Multiclass Loss"
link: "https://www.kaggle.com/c/playground-series-s3e26"
image: "/logos/60893.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s3e26/discussion/464887"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s3e26/discussion/464863"
kind: "description"
- rank: "39"
link: "https://www.kaggle.com/c/playground-series-s3e26/discussion/464876"
kind: "description"
- number: "588"
title: "CAFA 5 Protein Function Prediction"
desc: "[Closed to new entrants] Predict the biological function of a protein"
kind: "Research"
prize: "$50,000"
team: "1,625"
metric: "PostProcessorKernelDesc"
link: "https://www.kaggle.com/c/cafa-5-protein-function-prediction"
image: "/logos/41875.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/cafa-5-protein-function-prediction/discussion/434064"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/cafa-5-protein-function-prediction/discussion/464437"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/cafa-5-protein-function-prediction/discussion/433732"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/cafa-5-protein-function-prediction/discussion/463009"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/cafa-5-protein-function-prediction/discussion/462605"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/cafa-5-protein-function-prediction/discussion/434333"
kind: "description"
- number: "587"
title: "Stanford Ribonanza RNA Folding"
desc: "Create a model that predicts the structures of any RNA molecule"
kind: "Research"
prize: "$100,000"
team: "755"
metric: "Mean Absolute Error"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding"
image: "/logos/51294.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460121"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460316"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460403"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460203"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460250"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460392"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460190"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460222"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/463352"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460192"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460130"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460545"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460383"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460145"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460285"
kind: "description"
- rank: "36"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460287"
kind: "description"
- rank: "37"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/463253"
kind: "description"
- rank: "44"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460315"
kind: "description"
- rank: "46"
link: "https://www.kaggle.com/c/stanford-ribonanza-rna-folding/discussion/460252"
kind: "description"
- number: "586"
title: "Child Mind Institute - Detect Sleep States"
desc: "Detect sleep onset and wake from wrist-worn accelerometer data"
kind: "Featured"
prize: "$50,000"
team: "1,877"
metric: "Event Detection AP"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states"
image: "/logos/53666.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459715"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459627"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459599"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459637"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459766"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459604"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459598"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/460617"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/460372"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459894"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459596"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459703"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/460274"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/460177"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/460371"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459671"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459761"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/460021"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459632"
kind: "description"
- rank: "34"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459595"
kind: "description"
- rank: "39"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459885"
kind: "description"
- rank: "40"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459648"
kind: "description"
- rank: "41"
link: "https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/461154"
kind: "description"
- number: "585"
title: "Playground Series - Season 3, Episode 25"
desc: "Regression with a Mohs Hardness Dataset"
kind: "Playground"
prize: "Swag"
team: "1,632"
metric: "Median Absolute Error"
link: "https://www.kaggle.com/c/playground-series-s3e25"
image: "/logos/60892.webp"
year: "2023"
isHot: "false"
done: "false"
solutions:
- number: "584"
title: "Open Problems – Single-Cell Perturbations"
desc: "Predict how small molecules change gene expression in different cell types"
kind: "Featured"
prize: "$100,000"
team: "1,097"
metric: "Weighted Rowwise Root Mean Squared Error"
link: "https://www.kaggle.com/c/open-problems-single-cell-perturbations"
image: "/logos/59094.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/open-problems-single-cell-perturbations/discussion/459258"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/open-problems-single-cell-perturbations/discussion/458738"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/open-problems-single-cell-perturbations/discussion/458750"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/open-problems-single-cell-perturbations/discussion/459623"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/open-problems-single-cell-perturbations/discussion/459618"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/open-problems-single-cell-perturbations/discussion/459588"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/open-problems-single-cell-perturbations/discussion/458661"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/open-problems-single-cell-perturbations/discussion/458764"
kind: "description"
- rank: "44"
link: "https://www.kaggle.com/c/open-problems-single-cell-perturbations/discussion/458888"
kind: "description"
- number: "583"
title: "NeurIPS 2023 - Machine Unlearning"
desc: "Erase the influence of requested samples without hurting accuracy"
kind: "Research"
prize: "$50,000"
team: "1,188"
metric: "56167-unlearn-metric"
link: "https://www.kaggle.com/c/neurips-2023-machine-unlearning"
image: "/logos/56167.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/neurips-2023-machine-unlearning/discussion/458721"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/neurips-2023-machine-unlearning/discussion/459200"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/neurips-2023-machine-unlearning/discussion/459334"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/neurips-2023-machine-unlearning/discussion/459148"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/neurips-2023-machine-unlearning/discussion/458531"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/neurips-2023-machine-unlearning/discussion/458740"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/neurips-2023-machine-unlearning/discussion/459095"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/neurips-2023-machine-unlearning/discussion/458715"
kind: "description"
- number: "582"
title: "Lux AI Season 2 - NeurIPS Stage 2"
desc: "Terraform Mars!"
kind: "Featured"
prize: "Swag"
team: "64"
metric: "lux_ai_s2"
link: "https://www.kaggle.com/c/lux-ai-season-2-neurips-stage-2"
image: "/logos/60243.webp"
year: "2023"
isHot: "false"
done: "false"
solutions:
- number: "581"
title: "Google - Fast or Slow? Predict AI Model Runtime"
desc: "Predict how fast an AI model runs"
kind: "Research"
prize: "$50,000"
team: "616"
metric: "58266_TpuGraphsEval"
link: "https://www.kaggle.com/c/predict-ai-model-runtime"
image: "/logos/58266.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456343"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456365"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456377"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456462"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456093"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456084"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456673"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456645"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456206"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456129"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456092"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/458370"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456105"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456489"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456074"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/predict-ai-model-runtime/discussion/456579"
kind: "description"
- number: "580"
title: "Playground Series - Season 3, Episode 24"
desc: "Binary Prediction of Smoker Status using Bio-Signals"
kind: "Playground"
prize: "Swag"
team: "1,908"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/playground-series-s3e24"
image: "/logos/60891.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s3e24/discussion/455248"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s3e24/discussion/455296"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/playground-series-s3e24/discussion/455271"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s3e24/discussion/455268"
kind: "description"
- number: "579"
title: "AI Village Capture the Flag @ DEFCON31"
desc: "Collect flags by evading, poisoning, stealing, and fooling AI/ML"
kind: "Featured"
prize: "$50,000"
team: "1,344"
metric: "Flag_Metric"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31"
image: "/logos/57818.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454545"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454403"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454720"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454480"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/455206"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454471"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454578"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454466"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454364"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/455174"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454579"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454655"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454399"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454367"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454946"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/456747"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/455985"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/456808"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454543"
kind: "description"
- rank: "43"
link: "https://www.kaggle.com/c/ai-village-capture-the-flag-defcon31/discussion/454390"
kind: "description"
- number: "578"
title: "LLM Prompting with MakerSuite"
desc: "Design useful, innovative prompts for LLMs using MakerSuite"
kind: "Analytics"
prize: "Swag"
team: "0"
metric: "-"
link: "https://www.kaggle.com/c/llm-prompting-with-makersuite"
image: "/logos/61792.webp"
year: "2023"
isHot: "false"
done: "false"
solutions:
- number: "577"
title: "Playground Series - Season 3, Episode 23"
desc: "Binary Classification with a Software Defects Dataset"
kind: "Playground"
prize: "Swag"
team: "1,702"
metric: "Roc Auc Score"
link: "https://www.kaggle.com/c/playground-series-s3e23"
image: "/logos/60890.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s3e23/discussion/450315"
kind: "description"
- number: "576"
title: "Bengali.AI Speech Recognition"
desc: "Recognize Bengali speech from out-of-distribution audio recordings"
kind: "Research"
prize: "$53,000"
team: "744"
metric: "Word Error Rate"
link: "https://www.kaggle.com/c/bengaliai-speech"
image: "/logos/52324.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/447961"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/447976"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/447957"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/447995"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/448006"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/448074"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/448126"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/447986"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/447965"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/448066"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/448119"
kind: "description"
- rank: "23"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/448343"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/450606"
kind: "description"
- rank: "31"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/448030"
kind: "description"
- rank: "40"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/450531"
kind: "description"
- rank: "44"
link: "https://www.kaggle.com/c/bengaliai-speech/discussion/450635"
kind: "description"
- number: "575"
title: "RSNA 2023 Abdominal Trauma Detection"
desc: "Detect and classify traumatic abdominal injuries"
kind: "Featured"
prize: "$50,000"
team: "1,125"
metric: "RSNA Trauma Metric"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection"
image: "/logos/52254.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447449"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447453"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447464"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447848"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/448208"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447549"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447706"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447506"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447450"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447539"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447553"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447448"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447779"
kind: "description"
- rank: "32"
link: "https://www.kaggle.com/c/rsna-2023-abdominal-trauma-detection/discussion/447651"
kind: "description"
- number: "574"
title: "CommonLit - Evaluate Student Summaries"
desc: " Automatically assess summaries written by students in grades 3-12"
kind: "Featured"
prize: "$60,000"
team: "2,064"
metric: "Mean Weighted Columnwise Root Mean Squared Error"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries"
image: "/logos/53482.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/447293"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446573"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446686"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446524"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446584"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446534"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446712"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446539"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446776"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/447254"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446818"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446872"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446648"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446512"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446676"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/448625"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446689"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446701"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446542"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/447093"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/447325"
kind: "description"
- rank: "32"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/448604"
kind: "description"
- rank: "35"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446591"
kind: "description"
- rank: "42"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/447822"
kind: "description"
- rank: "43"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446644"
kind: "description"
- rank: "49"
link: "https://www.kaggle.com/c/commonlit-evaluate-student-summaries/discussion/446516"
kind: "description"
- number: "573"
title: "Kaggle - LLM Science Exam"
desc: "Use LLMs to answer difficult science questions"
kind: "Featured"
prize: "$50,000"
team: "2,664"
metric: "MAP@{K}"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam"
image: "/logos/54662.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446422"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/448256"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446358"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446307"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446293"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/447647"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/447155"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446248"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446660"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446301"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446231"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446484"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446816"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446242"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446261"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446395"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/448114"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/447589"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446610"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446233"
kind: "description"
- rank: "36"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446455"
kind: "description"
- rank: "40"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446369"
kind: "description"
- rank: "45"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/447245"
kind: "description"
- rank: "47"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446788"
kind: "description"
- rank: "49"
link: "https://www.kaggle.com/c/kaggle-llm-science-exam/discussion/446355"
kind: "description"
- number: "572"
title: "Playground Series - Season 3, Episode 22"
desc: "Predict Health Outcomes of Horses"
kind: "Playground"
prize: "Swag"
team: "1,541"
metric: "MicroF1"
link: "https://www.kaggle.com/c/playground-series-s3e22"
image: "/logos/59110.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "14"
link: "https://www.kaggle.com/c/playground-series-s3e22/discussion/444642"
kind: "description"
- number: "571"
title: "Playground Series - Season 3, Episode 21"
desc: "Improve a Fixed Model the Data-Centric Way!"
kind: "Playground"
prize: "Swag"
team: "955"
metric: "Root Mean Squared Error"
link: "https://www.kaggle.com/c/playground-series-s3e21"
image: "/logos/59109.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s3e21/discussion/439142"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/playground-series-s3e21/discussion/438745"
kind: "description"
- number: "570"
title: "Google - American Sign Language Fingerspelling Recognition"
desc: "Train fast and accurate American Sign Language fingerspelling recognition models"
kind: "Research"
prize: "$200,000"
team: "1,315"
metric: "PostProcessorKernelDesc"
link: "https://www.kaggle.com/c/asl-fingerspelling"
image: "/logos/52950.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434485"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434588"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434393"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434983"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434415"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434871"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434475"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/436457"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434364"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434795"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434658"
kind: "description"
- rank: "22"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434680"
kind: "description"
- rank: "27"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434388"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434896"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434409"
kind: "description"
- rank: "42"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/434353"
kind: "description"
- rank: "46"
link: "https://www.kaggle.com/c/asl-fingerspelling/discussion/435231"
kind: "description"
- number: "569"
title: "Playground Series - Season 3, Episode 20"
desc: "Predict CO2 Emissions in Rwanda"
kind: "Playground"
prize: "Swag"
team: "1,440"
metric: "Root Mean Squared Error"
link: "https://www.kaggle.com/c/playground-series-s3e20"
image: "/logos/57095.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s3e20/discussion/433822"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s3e20/discussion/433567"
kind: "description"
- number: "568"
title: "ICR - Identifying Age-Related Conditions"
desc: "Use Machine Learning to detect conditions with measurements of anonymous characteristics"
kind: "Featured"
prize: "$60,000"
team: "6,430"
metric: "Weighted Multiclass Loss"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions"
image: "/logos/52784.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/430843"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/430860"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/430978"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/431173"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/430907"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/431048"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/431028"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/430897"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/430906"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/431312"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/431415"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/430937"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/431099"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/433013"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/432084"
kind: "description"
- rank: "40"
link: "https://www.kaggle.com/c/icr-identify-age-related-conditions/discussion/432726"
kind: "description"
- number: "567"
title: "Google Research - Identify Contrails to Reduce Global Warming"
desc: "Train ML models to identify contrails in satellite images and help prevent their formation"
kind: "Research"
prize: "$50,000"
team: "954"
metric: "contrails_global_dice"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming"
image: "/logos/animation_square.gif"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430618"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430491"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430685"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/432998"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430549"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430581"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430691"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430543"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430479"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/432690"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/432254"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430904"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430483"
kind: "description"
- rank: "25"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430794"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430684"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/430476"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/google-research-identify-contrails-reduce-global-warming/discussion/432282"
kind: "description"
- number: "566"
title: "Playground Series - Season 3, Episode 19"
desc: "Forecasting Mini-Course Sales"
kind: "Playground"
prize: "Swag"
team: "1,172"
metric: "SMAPE"
link: "https://www.kaggle.com/c/playground-series-s3e19"
image: "/logos/57094.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s3e19/discussion/428311"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s3e19/discussion/428385"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s3e19/discussion/428682"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s3e19/discussion/428335"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s3e19/discussion/428347"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/playground-series-s3e19/discussion/428514"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s3e19/discussion/428368"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/playground-series-s3e19/discussion/428300"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/playground-series-s3e19/discussion/428438"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/playground-series-s3e19/discussion/428433"
kind: "description"
- number: "565"
title: "HuBMAP - Hacking the Human Vasculature"
desc: "Segment instances of microvascular structures from healthy human kidney tissue slides."
kind: "Research"
prize: "$50,000"
team: "1,064"
metric: "OpenImagesObjDetectionSegmentationAP"
link: "https://www.kaggle.com/c/hubmap-hacking-the-human-vasculature"
image: "/logos/52279.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/hubmap-hacking-the-human-vasculature/discussion/429060"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/hubmap-hacking-the-human-vasculature/discussion/429240"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/hubmap-hacking-the-human-vasculature/discussion/428994"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/hubmap-hacking-the-human-vasculature/discussion/428295"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/hubmap-hacking-the-human-vasculature/discussion/429352"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/hubmap-hacking-the-human-vasculature/discussion/428447"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/hubmap-hacking-the-human-vasculature/discussion/428301"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/hubmap-hacking-the-human-vasculature/discussion/428319"
kind: "description"
- rank: "19"
link: "https://www.kaggle.com/c/hubmap-hacking-the-human-vasculature/discussion/428327"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/hubmap-hacking-the-human-vasculature/discussion/428372"
kind: "description"
- rank: "46"
link: "https://www.kaggle.com/c/hubmap-hacking-the-human-vasculature/discussion/428644"
kind: "description"
- number: "564"
title: "2023 Kaggle AI Report"
desc: "Essays on the state of machine learning in 2023"
kind: "Analytics"
prize: "$70,000"
team: "379"
metric: "All submissions score 1"
link: "https://www.kaggle.com/c/2023-kaggle-ai-report"
image: "/logos/50947.webp"
year: "2023"
isHot: "false"
done: "false"
solutions:
- number: "563"
title: "Playground Series - Season 3, Episode 18"
desc: "Explore Multi-Label Classification with an Enzyme Substrate Dataset"
kind: "Playground"
prize: "Swag"
team: "1,056"
metric: "Area Under Receiver Operating Characteristic Curve"
link: "https://www.kaggle.com/c/playground-series-s3e18"
image: "/logos/53377.webp"
year: "2023"
isHot: "false"
done: "false"
solutions:
- number: "562"
title: "Predict Student Performance from Game Play"
desc: "Trace student learning from Jo Wilder online educational game"
kind: "Featured"
prize: "$55,000"
team: "2,103"
metric: "F-Score (Macro)"
link: "https://www.kaggle.com/c/predict-student-performance-from-game-play"
image: "/logos/45533.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/predict-student-performance-from-game-play/discussion/420217"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/predict-student-performance-from-game-play/discussion/420235"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/predict-student-performance-from-game-play/discussion/420349"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/predict-student-performance-from-game-play/discussion/420119"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/predict-student-performance-from-game-play/discussion/420528"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/predict-student-performance-from-game-play/discussion/420046"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/predict-student-performance-from-game-play/discussion/420132"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/predict-student-performance-from-game-play/discussion/420077"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/predict-student-performance-from-game-play/discussion/420041"
kind: "description"
- rank: "44"
link: "https://www.kaggle.com/c/predict-student-performance-from-game-play/discussion/420158"
kind: "description"
- number: "561"
title: "Playground Series - Season 3, Episode 17"
desc: "Binary Classification of Machine Failures"
kind: "Playground"
prize: "Swag"
team: "1,502"
metric: "Area Under Receiver Operating Characteristic Curve"
link: "https://www.kaggle.com/c/playground-series-s3e17"
image: "/logos/53376.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s3e17/discussion/419730"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/playground-series-s3e17/discussion/419643"
kind: "description"
- rank: "17"
link: "https://www.kaggle.com/c/playground-series-s3e17/discussion/419648"
kind: "description"
- rank: "47"
link: "https://www.kaggle.com/c/playground-series-s3e17/discussion/419708"
kind: "description"
- number: "560"
title: "Benetech - Making Graphs Accessible"
desc: "Use ML to create tabular data from graphs"
kind: "Featured"
prize: "$50,000"
team: "608"
metric: "Benetech Mixed Data Type Matching Score"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible"
image: "/logos/43873.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible/discussion/418786"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible/discussion/418430"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible/discussion/418420"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible/discussion/418604"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible/discussion/418477"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible/discussion/418466"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible/discussion/418510"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible/discussion/418321"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible/discussion/418323"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible/discussion/418389"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible/discussion/418705"
kind: "description"
- rank: "40"
link: "https://www.kaggle.com/c/benetech-making-graphs-accessible/discussion/418331"
kind: "description"
- number: "559"
title: "GoDaddy - Microbusiness Density Forecasting"
desc: "Forecast Next Month’s Microbusiness Density"
kind: "Featured"
prize: "$60,000"
team: "3,547"
metric: "SMAPE"
link: "https://www.kaggle.com/c/godaddy-microbusiness-density-forecasting"
image: "/logos/41881.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/godaddy-microbusiness-density-forecasting/discussion/395131"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/godaddy-microbusiness-density-forecasting/discussion/395264"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/godaddy-microbusiness-density-forecasting/discussion/418287"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/godaddy-microbusiness-density-forecasting/discussion/394821"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/godaddy-microbusiness-density-forecasting/discussion/417821"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/godaddy-microbusiness-density-forecasting/discussion/418770"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/godaddy-microbusiness-density-forecasting/discussion/417803"
kind: "description"
- rank: "32"
link: "https://www.kaggle.com/c/godaddy-microbusiness-density-forecasting/discussion/395011"
kind: "description"
- rank: "35"
link: "https://www.kaggle.com/c/godaddy-microbusiness-density-forecasting/discussion/418657"
kind: "description"
- rank: "44"
link: "https://www.kaggle.com/c/godaddy-microbusiness-density-forecasting/discussion/418355"
kind: "description"
- rank: "48"
link: "https://www.kaggle.com/c/godaddy-microbusiness-density-forecasting/discussion/417946"
kind: "description"
- number: "558"
title: "Vesuvius Challenge - Ink Detection"
desc: "Resurrect an ancient library from the ashes of a volcano"
kind: "Featured"
prize: "$1,000,000"
team: "1,249"
metric: "DiceFBeta"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection"
image: "/logos/47317.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection/discussion/417496"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection/discussion/417255"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection/discussion/417536"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection/discussion/417779"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection/discussion/417642"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection/discussion/417274"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection/discussion/417430"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection/discussion/417383"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection/discussion/417361"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection/discussion/417363"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection/discussion/418921"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/vesuvius-challenge-ink-detection/discussion/417444"
kind: "description"
- number: "557"
title: "Playground Series - Season 3, Episode 16"
desc: "Regression with a Crab Age Dataset"
kind: "Playground"
prize: "Swag"
team: "1,429"
metric: "Mean Absolute Error"
link: "https://www.kaggle.com/c/playground-series-s3e16"
image: "/logos/51983.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s3e16/discussion/416783"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s3e16/discussion/416769"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/playground-series-s3e16/discussion/416819"
kind: "description"
- number: "556"
title: "Image Matching Challenge 2023"
desc: "Reconstruct 3D scenes from 2D images"
kind: "Research"
prize: "$50,000"
team: "494"
metric: "imc2023"
link: "https://www.kaggle.com/c/image-matching-challenge-2023"
image: "/logos/49349.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/image-matching-challenge-2023/discussion/417407"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/image-matching-challenge-2023/discussion/416873"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/image-matching-challenge-2023/discussion/416918"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/image-matching-challenge-2023/discussion/416816"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/image-matching-challenge-2023/discussion/417045"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/image-matching-challenge-2023/discussion/416842"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/image-matching-challenge-2023/discussion/420471"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/image-matching-challenge-2023/discussion/417002"
kind: "description"
- rank: "30"
link: "https://www.kaggle.com/c/image-matching-challenge-2023/discussion/417186"
kind: "description"
- rank: "39"
link: "https://www.kaggle.com/c/image-matching-challenge-2023/discussion/416847"
kind: "description"
- rank: "42"
link: "https://www.kaggle.com/c/image-matching-challenge-2023/discussion/416777"
kind: "description"
- number: "555"
title: "Parkinsons Freezing of Gait Prediction"
desc: "Event detection from wearable sensor data"
kind: "Research"
prize: "$100,000"
team: "1,379"
metric: "sklearn_average_precision_score"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction"
image: "/logos/41880.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction/discussion/416026"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction/discussion/416057"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction/discussion/417717"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction/discussion/416410"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction/discussion/418275"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction/discussion/415992"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction/discussion/416021"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction/discussion/416513"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction/discussion/418008"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction/discussion/416248"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction/discussion/416106"
kind: "description"
- rank: "21"
link: "https://www.kaggle.com/c/tlvmc-parkinsons-freezing-gait-prediction/discussion/415975"
kind: "description"
- number: "554"
title: "Playground Series - Season 3, Episode 15"
desc: "Feature Imputation with a Heat Flux Dataset"
kind: "Playground"
prize: "Swag"
team: "693"
metric: "Mean Absolute Error"
link: "https://www.kaggle.com/c/playground-series-s3e15"
image: "/logos/51982.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s3e15/discussion/414048"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s3e15/discussion/413826"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s3e15/discussion/414027"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s3e15/discussion/413742"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/playground-series-s3e15/discussion/413839"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/playground-series-s3e15/discussion/413808"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/playground-series-s3e15/discussion/413977"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/playground-series-s3e15/discussion/413749"
kind: "description"
- number: "553"
title: "BirdCLEF 2023"
desc: "Identify bird calls in soundscapes"
kind: "Research"
prize: "$50,000"
team: "1,189"
metric: "buffered_cmAP"
link: "https://www.kaggle.com/c/birdclef-2023"
image: "/logos/25954.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/birdclef-2023/discussion/412808"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/birdclef-2023/discussion/412707"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/birdclef-2023/discussion/414102"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/birdclef-2023/discussion/412753"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/birdclef-2023/discussion/412903"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/birdclef-2023/discussion/412708"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/birdclef-2023/discussion/412922"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/birdclef-2023/discussion/412794"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/birdclef-2023/discussion/412742"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/birdclef-2023/discussion/412996"
kind: "description"
- rank: "37"
link: "https://www.kaggle.com/c/birdclef-2023/discussion/412869"
kind: "description"
- number: "552"
title: "FathomNet 2023"
desc: "Shifting seas, shifting species; Out-of-sample detection in the deep ocean"
kind: "Research"
prize: "Knowledge"
team: "69"
metric: "FathomNet 2023"
link: "https://www.kaggle.com/c/fathomnet-out-of-sample-detection"
image: "/logos/46149.webp"
year: "2023"
isHot: "false"
done: "false"
solutions:
- number: "551"
title: "AMP®-Parkinsons Disease Progression Prediction"
desc: "Use protein and peptide data measurements from Parkinsons Disease patients to predict progression of the disease."
kind: "Featured"
prize: "$60,000"
team: "1,805"
metric: "SMAPE"
link: "https://www.kaggle.com/c/amp-parkinsons-disease-progression-prediction"
image: "/logos/37794.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/amp-parkinsons-disease-progression-prediction/discussion/411505"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/amp-parkinsons-disease-progression-prediction/discussion/411546"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/amp-parkinsons-disease-progression-prediction/discussion/411398"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/amp-parkinsons-disease-progression-prediction/discussion/411388"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/amp-parkinsons-disease-progression-prediction/discussion/411395"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/amp-parkinsons-disease-progression-prediction/discussion/411380"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/amp-parkinsons-disease-progression-prediction/discussion/411394"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/amp-parkinsons-disease-progression-prediction/discussion/411436"
kind: "description"
- number: "550"
title: "Playground Series - Season 3, Episode 14"
desc: "Prediction of Wild Blueberry Yield"
kind: "Playground"
prize: "Swag"
team: "1,875"
metric: "Mean Absolute Error"
link: "https://www.kaggle.com/c/playground-series-s3e14"
image: "/logos/51959.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s3e14/discussion/410627"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s3e14/discussion/410639"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/playground-series-s3e14/discussion/410666"
kind: "description"
- number: "549"
title: "Stable Diffusion - Image to Prompts"
desc: 'Deduce the prompts that generated our "highly detailed, sharp focus, illustration, 3d renders of majestic, epic" images'
kind: "Featured"
prize: "$50,000"
team: "1,231"
metric: "MeanCosineSimilarity"
link: "https://www.kaggle.com/c/stable-diffusion-image-to-prompts"
image: "/logos/45917.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/stable-diffusion-image-to-prompts/discussion/411237"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/stable-diffusion-image-to-prompts/discussion/410606"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/stable-diffusion-image-to-prompts/discussion/410686"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/stable-diffusion-image-to-prompts/discussion/410798"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/stable-diffusion-image-to-prompts/discussion/410688"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/stable-diffusion-image-to-prompts/discussion/410768"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/stable-diffusion-image-to-prompts/discussion/410618"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/stable-diffusion-image-to-prompts/discussion/410611"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/stable-diffusion-image-to-prompts/discussion/410657"
kind: "description"
- rank: "33"
link: "https://www.kaggle.com/c/stable-diffusion-image-to-prompts/discussion/410610"
kind: "description"
- rank: "36"
link: "https://www.kaggle.com/c/stable-diffusion-image-to-prompts/discussion/410609"
kind: "description"
- number: "548"
title: "Lux AI Season 2"
desc: "Terraform Mars!"
kind: "Featured"
prize: "$55,000"
team: "637"
metric: "lux_ai_s2"
link: "https://www.kaggle.com/c/lux-ai-season-2"
image: "/logos/40898.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/lux-ai-season-2/discussion/407982"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/lux-ai-season-2/discussion/405476"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/lux-ai-season-2/discussion/404921"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/lux-ai-season-2/discussion/406702"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/lux-ai-season-2/discussion/405245"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/lux-ai-season-2/discussion/411725"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/lux-ai-season-2/discussion/407723"
kind: "description"
- number: "547"
title: "Playground Series - Season 3, Episode 13"
desc: "Classification with a Tabular Vector Borne Disease Dataset"
kind: "Playground"
prize: "Swag"
team: "934"
metric: "Mean Average Precision at K"
link: "https://www.kaggle.com/c/playground-series-s3e13"
image: "/logos/49201.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/playground-series-s3e13/discussion/406433"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/playground-series-s3e13/discussion/407829"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/playground-series-s3e13/discussion/406409"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/playground-series-s3e13/discussion/406812"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s3e13/discussion/406313"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/playground-series-s3e13/discussion/406395"
kind: "description"
- rank: "29"
link: "https://www.kaggle.com/c/playground-series-s3e13/discussion/406366"
kind: "description"
- rank: "31"
link: "https://www.kaggle.com/c/playground-series-s3e13/discussion/405616"
kind: "description"
- rank: "58"
link: "https://www.kaggle.com/c/playground-series-s3e13/discussion/406396"
kind: "description"
- number: "546"
title: "Google - Isolated Sign Language Recognition"
desc: "Enhance PopSigns educational games for learning ASL"
kind: "Research"
prize: "$100,000"
team: "1,165"
metric: "PostProcessorKernelDesc"
link: "https://www.kaggle.com/c/asl-signs"
image: "/logos/46105.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/asl-signs/discussion/406684"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/asl-signs/discussion/406306"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/asl-signs/discussion/406568"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/asl-signs/discussion/406673"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/asl-signs/discussion/406491"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/asl-signs/discussion/406537"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/asl-signs/discussion/406411"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/asl-signs/discussion/406343"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/asl-signs/discussion/406434"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/asl-signs/discussion/406657"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/asl-signs/discussion/406300"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/asl-signs/discussion/406301"
kind: "description"
- rank: "18"
link: "https://www.kaggle.com/c/asl-signs/discussion/406441"
kind: "description"
- rank: "26"
link: "https://www.kaggle.com/c/asl-signs/discussion/406659"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/asl-signs/discussion/406630"
kind: "description"
- rank: "44"
link: "https://www.kaggle.com/c/asl-signs/discussion/406302"
kind: "description"
- rank: "49"
link: "https://www.kaggle.com/c/asl-signs/discussion/406426"
kind: "description"
- number: "545"
title: "IceCube - Neutrinos in Deep Ice"
desc: "Reconstruct the direction of neutrinos from the Universe to the South Pole"
kind: "Research"
prize: "$50,000"
team: "812"
metric: "MeanAngularError"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice"
image: "/logos/38257.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/402976"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/402882"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/402888"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/403398"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/403153"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/403713"
kind: "description"
- rank: "9"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/402849"
kind: "description"
- rank: "10"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/402969"
kind: "description"
- rank: "11"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/402920"
kind: "description"
- rank: "12"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/403000"
kind: "description"
- rank: "13"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/405563"
kind: "description"
- rank: "14"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/402973"
kind: "description"
- rank: "15"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/405034"
kind: "description"
- rank: "16"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/402861"
kind: "description"
- rank: "20"
link: "https://www.kaggle.com/c/icecube-neutrinos-in-deep-ice/discussion/402864"
kind: "description"
- number: "544"
title: "Playground Series - Season 3, Episode 12"
desc: "Binary Classification with a Tabular Kidney Stone Prediction Dataset"
kind: "Playground"
prize: "Swag"
team: "1,088"
metric: "Log Loss"
link: "https://www.kaggle.com/c/playground-series-s3e12"
image: "/logos/49200.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "5"
link: "https://www.kaggle.com/c/playground-series-s3e12/discussion/402403"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/playground-series-s3e12/discussion/402416"
kind: "description"
- rank: "24"
link: "https://www.kaggle.com/c/playground-series-s3e12/discussion/402398"
kind: "description"
- rank: "28"
link: "https://www.kaggle.com/c/playground-series-s3e12/discussion/402347"
kind: "description"
- number: "543"
title: "March Machine Learning Mania 2023"
desc: "Forecast the 2023 NCAA Basketball Tournaments"
kind: "Featured"
prize: "$50,000"
team: "1033"
metric: "Mean Squared Error"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2023"
image: "/logos/46801.webp"
year: "2023"
isHot: "false"
done: "true"
solutions:
- rank: "1"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2023/discussion/399553"
kind: "description"
- rank: "2"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2023/discussion/401578"
kind: "description"
- rank: "3"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2023/discussion/401641"
kind: "description"
- rank: "4"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2023/discussion/401588"
kind: "description"
- rank: "5"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2023/discussion/401382"
kind: "description"
- rank: "6"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2023/discussion/400709"
kind: "description"
- rank: "7"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2023/discussion/400116"
kind: "description"
- rank: "8"
link: "https://www.kaggle.com/c/march-machine-learning-mania-2023/discussion/400834"
kind: "description"
- rank: "9"
link: "https://

---

README (README.md) Copy Section

Overview Copy Chapter

Usage Copy Chapter

Browsing Solutions Copy Section

Creating Your Own Copy Copy Section

Running Locally Copy Section

Suggestions Copy Chapter

Understanding the Competition Copy Section

Learning from Top Performers Copy Section

Key Areas to Focus On Copy Section

Applying Knowledge Copy Section

Contribution Copy Chapter

How to Contribute Copy Section

Questions or Issues? Copy Section

License Copy Section

Acknowledgments Copy Section

FUNDING.Yml (FUNDING.yml) Copy Section