Awesome Opensource Ai

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

A collection of pre-trained, state-of-the-art models in the ONNX format

cuDF - GPU DataFrame Library

Bayesian Modeling and Probabilistic Programming in Python

High-speed Large Language Model Serving for Local Deployment

Cybersecurity AI (CAI), the framework for AI Security

Autonomous AI development loop for Claude Code with intelligent exit detection

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

A python library for user-friendly forecasting and anomaly detection on time series.

Containers for machine learning

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!

AutoML library for deep learning

🚀 Next Gen Multi-tenant AI One-Stop Solution. Builtin Admin & Billing System. Enterprise-Grade Unified LLM Gateway Support for 200+ Models And 35+ Providers, Load Balacing w/ Priority-base Routing, Cost Management, Chat Share, Cloud Sync, Credit/Subscription Billing, All File Parsing, Web Search, Built-in Model Cache.

An Application Framework for AI Engineering

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.

Apache Iceberg

A CLI that writes your git commit messages for you with AI

ModelScope: bring the notion of Model-as-a-Service to life.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

🤖 AI Gateway | AI Native API Gateway

An AI-powered search engine with a generative UI

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

the LLM vulnerability scanner

🧙 Build, run, and manage data pipelines for integrating and transforming data.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

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Apache Beam is a unified programming model for Batch and Streaming data processing.

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[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

AI Toolkit for Healthcare Imaging

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

Build effective agents using Model Context Protocol and simple workflow patterns

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Accessible large language models via k-bit quantization for PyTorch.

Manage multiple AI terminal agents like Claude Code, Codex, OpenCode, and Amp.

Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.

⚙️🦀 Build modular and scalable LLM Applications in Rust

The sandbox agent framework.

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

A vector search SQLite extension that runs anywhere!

Build autonomous AI agents in Python.

OpenShell is the safe, private runtime for autonomous AI agents.