Awesome Opensource Ai

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.

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

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

Apache Iceberg

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

An AI-powered search engine with a generative UI

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.

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

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.

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.

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

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

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

⚙️🦀 Build modular and scalable LLM Applications in Rust

No description.

Open-source, high-performance AI gateway that works as your LLM gateway, MCP gateway and agent gateway. One OpenAI-compatible API for 10,000+ models, with failover, load balancing, semantic caching, virtual keys, budgets and MCP Code Mode. Works with any SDK or agent and adds under 200µs of overhead at 5k RPS.

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

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

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

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

AI Toolkit for Healthcare Imaging

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

Build effective agents using Model Context Protocol and simple workflow patterns

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

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

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

The sandbox agent framework.

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

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

slime is an LLM post-training framework for RL Scaling.

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

FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models

An app that brings language models directly to your phone.

[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.

🧱 Easy fast local-first microVM runtime and library

A vector search SQLite extension that runs anywhere!

Unified framework for robot learning built on NVIDIA Isaac Sim

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

A Datacenter Scale Distributed Inference Serving Framework

Build autonomous AI agents in Python.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks

Kimi Code CLI — The Starting Point for Next-Gen Agents

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

No description.

Utilities intended for use with Llama models.