There are 1,155 repositories under pytorch topic.
Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Deep Learning for humans
Clone a voice in 5 seconds to generate arbitrary speech in real-time
🧑🏫 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, ... 🧠
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Learn how to design, develop, deploy and iterate on production-grade ML applications.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
🚀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
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 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
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyTorch Tutorial for Deep Learning Researchers
OpenMMLab Detection Toolbox and Benchmark
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Visualizer for neural network, deep learning and machine learning models
SoftVC VITS Singing Voice Conversion
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Image-to-Image Translation in PyTorch
State-of-the-art 2D and 3D Face Analysis Project
deep learning for image processing including classification and object-detection etc.
Graph Neural Network Library for PyTorch
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
A high-throughput and memory-efficient inference and serving engine for LLMs
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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。