There are 920 repositories under pytorch topic.
🤗 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
Learn how to responsibly develop, deploy and maintain production machine learning applications.
🚀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
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
PyTorch Tutorial for Deep Learning Researchers
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
The fastai deep learning library
OpenMMLab Detection Toolbox and Benchmark
Deep learning framework to train, deploy, and ship AI products Lightning fast.
Visualizer for neural network, deep learning, and machine learning models
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Image-to-Image Translation in PyTorch
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Graph Neural Network Library for PyTorch
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
deep learning for image processing including classification and object-detection etc.
A low-code Machine Learning platform to help developers build #AI solutions
Open standard for machine learning interoperability
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
State-of-the-art 2D and 3D Face Analysis Project
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Natural Language Processing Tutorial for Deep Learning Researchers