### README (README.md)

Kaggle Solutions

The Most Comprehensive Collection of Kaggle Competition Solutions and Ideas

Overview • Usage • Suggestions • Contribution

## 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](https://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://.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](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 Copyright (c) 2018-2026 Farid Rashidi 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" - 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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: - 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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" - 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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. 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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" - 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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" - 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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" - 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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" - 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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" - 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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: - 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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" - 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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: - 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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" - 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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: - 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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" - 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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" - 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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" - 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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" - 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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: - 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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" - 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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" - 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