Awesome Opensource Ai

The agent engineering platform.

🙌 OpenHands: AI-Driven Development

Models and examples built with TensorFlow

LlamaIndex is the leading document agent and OCR platform

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

Build resilient agents.

Search infrastructure for AI

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

The batteries-included agent harness.

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

A game theoretic approach to explain the output of any machine learning model.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

A guidance language for controlling large language models.

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.

FinRL®: Financial Reinforcement Learning. 🔥

Simple, unified interface to multiple Generative AI providers

Supercharge Your LLM Application Evaluations 🚀

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

The Context Platform for your Data and AI Stack

Go ahead and axolotl questions

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

An elegant PyTorch deep reinforcement learning library.

AI Observability & Evaluation

A unified framework for machine learning with time series

AutoML library for deep learning

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.

An open source python library for automated feature engineering

The Open Source Feature Store for AI/ML

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

Upserts, Deletes And Incremental Processing on Big Data.

A scikit-learn compatible neural network library that wraps PyTorch

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

Probabilistic time series modeling in Python

Ecommerce Search and Discovery - marqo.ai

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

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

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

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 library for mechanistic interpretability of GPT-style language models

Synthetic data generation for tabular data

Evaluation and Tracking for LLM Experiments and AI Agents

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

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.