🤗 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

Deep Learning for humans

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

A high-throughput and memory-efficient inference and serving engine for LLMs

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

OpenMMLab Detection Toolbox and Benchmark

Ultralytics YOLO 🚀

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

PyTorch Tutorial for Deep Learning Researchers

deep learning for image processing including classification and object-detection etc.

The fastai deep learning library

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

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

🧑‍🏫 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, ... 🧠

Image-to-Image Translation in PyTorch

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.