Highlights
- Pro
Stars
Android Quick Settings Tiles. Mirrored from https://gitlab.com/flxholle/quick-tiles
Seamless background video recorder for Android – ad-free and open-source, with customizable options.
A modern and responsive react timeline component.
A frontend Framework for single-page applications on top of REST/GraphQL APIs, using TypeScript, React and Material Design
The fastest way to develop full-stack web apps with React & Node.js.
ActivityPub-federated video streaming platform using P2P directly in your web browser
AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A React Native Component library implementing the Base design language.
Paper Onboarding is a material design UI slider for `React Native`.
🎥 Make videos programmatically with React
An interactive sticky item inspired by Facebook Stories.
Standalone CodePush server from App Center
React Native module for CodePush
This repo contains the react-native Gallery app created by Microsoft
A framework for building native Windows apps with React.
Example of using micro-frontends in a React Native mobile app with Re.Pack to create a Super App.
OpenHealth, AI Health Assistant | Powered by Your Data
Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
The official gpt4free repository | various collection of powerful language models | o3 and deepseek r1, gpt-4.5
A Gradio web UI for Large Language Models with support for multiple inference backends.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
A high-throughput and memory-efficient inference and serving engine for LLMs
Janus-Series: Unified Multimodal Understanding and Generation Models
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
DeepSeek Coder: Let the Code Write Itself
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.