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.

🚀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

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

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 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

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

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.

Visualizer for neural network, deep learning and machine learning models

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