Stars
Stable Diffusion web UI
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Models and examples built with TensorFlow
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
The world's simplest facial recognition api for Python and the command line
No fortress, purely open ground. OpenManus is Coming.
The definitive Web UI for local AI, with powerful features and easy setup.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
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…
Python packaging and dependency management made easy
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Industry leading face manipulation platform
PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
Python composable command line interface toolkit
Simple, Pythonic remote execution and deployment.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud.
Postgres CLI with autocompletion and syntax highlighting
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Install and Run Python Applications in Isolated Environments
Python bindings for FFmpeg - with complex filtering support