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The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

LLM training code for Databricks foundation models

Pre-trained Deep Learning models and demos (high quality and extremely fast)

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.

An open source extension that connects AI agents to computational notebooks in JupyterLab.

One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Set of tools to assess and improve LLM security.

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

Optimizing inference proxy for LLMs

[AAAI 2025] EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning

A nearly-live implementation of OpenAI's Whisper.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

AdalFlow: The library to build & auto-optimize LLM applications.

Machine Learning Pipelines for Kubeflow

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Official repository for the Boltz biomolecular interaction models

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

A system for agentic LLM-powered data processing and ETL

ADHD — a skill for coding agents. Tree-of-thought with pruning, built on the Claude & Codex Agent SDK. Fans out parallel divergent thoughts under different cognitive frames, scores, prunes traps, deepens the survivors. The no-brainer skill for creative and interdisciplinary work.

Harness LLMs with Multi-Agent Programming

An open-source model family for long-form speech, dialogue synthesis, voice design, sound effects, and real-time streaming TTS

OpenAgents - The collaboration OS for AI agents

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

RTAB-Map library and standalone application

Superfast AI decision making and intelligent processing of multi-modal data.

A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.

A retargetable MLIR-based machine learning compiler and runtime toolkit.

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks