深度学习

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

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.

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

Deep Learning for humans

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

🧑‍🏫 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, ... 🧠

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

Deepfakes Software For All

100 Days of ML Coding

Ultralytics YOLO 🚀

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

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

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