Stars
The Frontend Stack for Agents & Generative UI. React + Angular. Makers of the AG-UI Protocol
Open-Source Generative UI Framework
Yap for Cursor - Voice To Text integration for Cursor IDE
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
Training-free Regional Prompting for Diffusion Transformers 🔥
Open Source DeepWiki: AI-Powered Wiki Generator for GitHub/Gitlab/Bitbucket Repositories. Join the discord: https://discord.gg/gMwThUMeme
Generate Diffuse Textures on Meshes directly in Blender 3D with Stable Diffusion.
Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.5, DeepSeek, gpt-oss locally.
The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents
very good whiteboard infinite canvas SDK
A set of beautifully-designed, accessible components and a code distribution platform. Works with your favorite frameworks. Open Source. Open Code.
An opinionated collection of components, hooks, and utilities for your Next.js project.
[TPAMI 2025🔥] MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
[ICCV'25 Best Paper Candidate] Official Implementations for Paper: Dynamic Typography: Bringing Text to Life via Video Diffusion Prior
Official code for the CVPR 2025 paper "SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion Models."
Lifting ControlNet for Generalized Depth Conditioning
Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0
A growing curation of Text-to-3D, Diffusion-to-3D works.
A simple canvas drawing web app with responsive UI. Made with TypeScript, React, and Next.js.
Python library for video editing, presentation video generation, motion graphics, shader art coding, and other video production tasks
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Create a draggable and resizable dashboard in Streamlit, featuring Material UI widgets, Monaco editor (Visual Studio Code), Nivo charts, and more!
[ECCV 2022] Meta-Sampler: Almost Universal yet Task-Oriented Sampling for Point Clouds
High-Resolution Image Synthesis with Latent Diffusion Models
[AAAI 2022] Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
Learn by experimenting on state-of-the-art machine learning models and algorithms with Jupyter Notebooks.