Awesome Opensource Ai

Header-only C++/python library for fast approximate nearest neighbors

Astronomy and astrophysics core library

Simple and Distributed Machine Learning

Probabilistic time series modeling in Python

Visualizer for pandas data structures

A Next-Generation Training Engine Built for Ultra-Large MoE Models

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Ecommerce Search and Discovery - marqo.ai

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

A blazing fast inference solution for text embeddings models

AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

Lightning ⚡️ fast forecasting with statistical and econometric models.

On-device AI across mobile, embedded and edge for PyTorch

An Engine-Agnostic Deep Learning Framework in Java

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

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

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

Agenta is a workspace where you and your team build agents and automations.

Align Anything: Training All-modality Model with Feedback

Fast inference engine for Transformer models

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

Notebooks using the Hugging Face libraries 🤗

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.

Reliable Multi-Agent Orchestration Framework

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

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!

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

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.

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

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

Optimizing inference proxy for LLMs

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.

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.

Machine Learning Pipelines for Kubeflow

Official repository for the Boltz biomolecular interaction models

Harness LLMs with Multi-Agent Programming

A system for agentic LLM-powered data processing and ETL

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.

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

OpenAgents - AI Agent Networks for Open Collaboration

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.