An Open Source Machine Learning Framework for Everyone
Machine-learning
Verified open-source repositories and technical documentation formatted for LLM context windows and autonomous AI coding agents (275 repositories indexed).
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source β self-host for your organization with complete privacy.
π€ Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Tensors and Dynamic neural networks in Python with strong GPU acceleration
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
List of Computer Science courses with video lectures.
The fastest path to AI-powered full stack observability, even for lean teams.
Tesseract Open Source OCR Engine (main repository)
A curated list of awesome Machine Learning frameworks, libraries and software.
Open Data Platform for analysts, quants and AI agents.
scikit-learn: machine learning in Python
Deep Learning for humans
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Ultralytics YOLO26, YOLO11, YOLOv8 β object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. π³Docker-friendly.β‘Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
Deepfakes Software For All
The world's simplest facial recognition api for Python and the command line
12 Weeks, 24 Lessons, AI for All!
We write your reusable computer vision tools. π
The Julia Programming Language
Learn how to develop, deploy and iterate on production-grade ML applications.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Learn it. Build it. Ship it for others.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit β A faster way to build and share data apps.
A community-supported supercharged document management system: scan, index and archive all your documents
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. π Star to support our work!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
AI-Powered Photos App ππβ¨
Multi-harness agentic plugin marketplace for Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, and Gemini CLI
Google Research
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Cross-platform, customizable ML solutions for live and streaming media.
Vane is an AI-powered answering engine.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
π« Industrial-strength Natural Language Processing (NLP) in Python
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Visualizer for neural network, deep learning and machine learning models
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
:memo: An awesome Data Science repository to learn and apply for real world problems.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lΓΆsungen, linkedin machine learning test LinkedIn test questions and answers
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
The fastai deep learning library