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

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

《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.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Deep Learning for humans

🧑‍🏫 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

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

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Deepfakes Software For All

100 Days of ML Coding

Ultralytics YOLO 🚀

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

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

12 Weeks, 24 Lessons, AI for All!