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Set of tools to assess and improve LLM security.

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

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

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

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

Machine Learning Pipelines for Kubeflow

Optimizing inference proxy for LLMs

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

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

A nearly-live implementation of OpenAI's Whisper.

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

Harness LLMs with Multi-Agent Programming

Latitude is the open-source agent engineering platform

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.

Official repository for the Boltz biomolecular interaction models

One beautiful Ruby API for OpenAI, Anthropic, Gemini, Bedrock, Azure, OpenRouter, DeepSeek, Ollama, VertexAI, Perplexity, Mistral, xAI, GPUStack & OpenAI compatible APIs. Agents, Chat, Vision, Audio, PDF, Images, Embeddings, Tools, Streaming & Rails integration.

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

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.

Simple RL training for reasoning

VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.

RTAB-Map library and standalone application

Maestro: Netflix’s Workflow Orchestrator

A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

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

Simple, safe way to store and distribute tensors

A system for agentic LLM-powered data processing and ETL

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

Generative models for conditional audio generation

Open Source AI Infra & Engineering Control Plane

A flexible, high-performance 3D simulator for Embodied AI research.