Discover the Best Open-Source Torch Projects Sorted by Stars

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Stable Diffusion web UI

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

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

🧑‍🏫 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, ... 🧠

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

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

🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

PyTorch Tutorial for Deep Learning Researchers

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Image Super-Resolution for Anime-Style Art

OpenMMLab Detection Toolbox and Benchmark

Visualizer for neural network, deep learning, and machine learning models

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

SoftVC VITS Singing Voice Conversion