deep-learning

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.

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.

《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。

🐙 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, ... 🧠

12 Weeks, 24 Lessons, AI for All!

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

100 Days of ML Coding

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.