Awesome Opensource Ai

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Align Anything: Training All-modality Model with Feedback

Notebooks using the Hugging Face libraries 🤗

A fast inference library for running LLMs locally on modern consumer-class GPUs

Fast inference engine for Transformer models

Reliable Multi-Agent Orchestration Framework

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

Webots Robot Simulator

LLM training code for Databricks foundation models

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

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

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

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!

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

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

Set of tools to assess and improve LLM security.

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

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

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

Optimizing inference proxy for LLMs

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

Machine Learning Pipelines for Kubeflow

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 nearly-live implementation of OpenAI's Whisper.

Official repository for the Boltz biomolecular interaction models

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.

Harness LLMs with Multi-Agent Programming

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.

OpenAgents - AI Agent Networks for Open Collaboration

A system for agentic LLM-powered data processing and ETL

Simple RL training for reasoning

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

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.

Simple, safe way to store and distribute tensors

Achieve state of the art inference performance with modern accelerators on Kubernetes

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

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

The official Python client for the Hugging Face Hub.

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.

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

Synthetic data generation for tabular data

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

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.

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

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

Evaluation and Tracking for LLM Experiments and AI Agents

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