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Starred repositories
Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Command-line program to download videos from YouTube.com and other video sites
FastAPI framework, high performance, easy to learn, fast to code, ready for production
The Python micro framework for building web applications.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Scrapy, a fast high-level web crawling & scraping framework for Python.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Making large AI models cheaper, faster and more accessible
Official Code for DragGAN (SIGGRAPH 2023)
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
Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
⚡ A Fast, Extensible Progress Bar for Python and CLI
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
This is a fun, new monospaced font that includes programming ligatures and is designed to enhance the modern look and feel of the Windows Terminal.
Deezer source separation library including pretrained models.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
😘 让你“爱”上 GitHub,解决访问时图裂、加载慢的问题。(无需安装)
Data validation using Python type hints
Run macOS on QEMU/KVM. With OpenCore + Monterey + Ventura + Sonoma support now! Only commercial (paid) support is available now to avoid spammy issues. No Mac system is required.