🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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.
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
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
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.
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.
Get updates on the fastest growing repos and cool stats about GitHub right in your inbox
Once per month. No spam.