Awesome Opensource Ai

A light-weight, flexible, and expressive statistical data testing library

Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!

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.

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

Official repository for the Boltz biomolecular interaction models

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

A system for agentic LLM-powered data processing and ETL

Harness LLMs with Multi-Agent Programming

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.

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

Simple, safe way to store and distribute tensors

The official CLI and Python client for the Hugging Face Hub.

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.

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

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.

Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

The best OSS video generation models, created by Genmo

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

Synthetic data generation for tabular data

Evaluation and Tracking for LLM Experiments and AI Agents

DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.

Eagle: Frontier Vision-Language Models with Data-Centric Strategies

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

Build production-ready AI agents in both Python and Typescript.

II-Agent: a new open-source framework to build and deploy intelligent agents

Scalable and efficient data transformation framework - backwards compatible with dbt.

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.

JAX-based neural network library

Dead simple FLUX LoRA training UI with LOW VRAM support

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models