An Open Source Machine Learning Framework for Everyone

Stable Diffusion web UI

🤗 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.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Open Source Computer Vision Library

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

List of Computer Science courses with video lectures.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Deep Learning for humans

Clone a voice in 5 seconds to generate arbitrary speech in real-time

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Deepfakes Software For All

Ultralytics YOLO 🚀

100 Days of ML Coding

Learn how to design, develop, deploy and iterate on production-grade ML applications.

12 Weeks, 24 Lessons, AI for All!

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)