An Open Source Machine Learning Framework for Everyone
Deep-learning
Verified open-source repositories and technical documentation formatted for LLM context windows and autonomous AI coding agents (199 repositories indexed).
🤗 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.
Stable Diffusion web UI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Open Source Computer Vision Library
List of Computer Science courses with video lectures.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Deep Learning for humans
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Deepfakes Software For All
12 Weeks, 24 Lessons, AI for All!
We write your reusable computer vision tools. 💜
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.
Streamlit — A faster way to build and share data apps.
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. 🌟 Star to support our work!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
Pure Javascript OCR for more than 100 Languages 📖🎉🖥
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
Cross-platform, customizable ML solutions for live and streaming media.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
💫 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.
:memo: An awesome Data Science repository to learn and apply for real world problems.
The fastai deep learning library
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Machine Learning Systems
A game theoretic approach to explain the output of any machine learning model.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Graph Neural Network Library for PyTorch
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Learn OpenCV : C++ and Python Examples
CVPR 2026 论文和开源项目合集
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
Best Practices on Recommendation Systems
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools