AI, LLM, ML
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
SWE-bench: Can Language Models Resolve Real-world Github Issues?
The definitive Web UI for local AI, with powerful features and easy setup.
The official Python library for the OpenAI API
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Stable Diffusion web UI
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
The official code of paper "LVCD: Reference-based Lineart Video Colorization with Diffusion Models"
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The …
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM …
🤗 smolagents: a barebones library for agents that think in code.
Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
Model Context Protocol extension for Azure Functions.
The Azure MCP Server, bringing the power of Azure to your agents.
Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Workflows make it easy to browse, search, execute and share commands (or a series of commands)--without needing to leave your terminal.
The only AI app builder that knows backend
Get your documents ready for gen AI
An automated data pipeline scaling RL to pretraining levels