Awesome Opensource Ai

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

Adding guardrails to large language models.

Flax is a neural network library for JAX that is designed for flexibility.

Tools for merging pretrained large language models.

The Open Source Feature Store for AI/ML

🧱 easy fast local-first microVM runtime and library

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

Fit interpretable models. Explain blackbox machine learning.

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

the portable Python dataframe library

Modeling, training, eval, and inference code for OLMo

Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.

可私有部署的多租户知识智能体平台：统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

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

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Upserts, Deletes And Incremental Processing on Big Data.

A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

A scikit-learn compatible neural network library that wraps PyTorch

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

A system for quickly generating training data with weak supervision

Optimize prompts, code, and more with AI-powered Reflective Optimization

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

PyTorch native post-training library

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

Democratizing Reinforcement Learning for LLMs

🐢 Open-Source Evaluation & Testing library for LLM Agents

Model interpretability and understanding for PyTorch

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

Chronos: Pretrained Models for Time Series Forecasting

Gemma open-weight LLM library, from Google DeepMind

A PyTorch native platform for training generative AI models

AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

SWE-bench: Can Language Models Resolve Real-world Github Issues?

A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.

lakeFS - Data version control for your data lake | Git for data

Astronomy and astrophysics core library

cuML - RAPIDS Machine Learning Library

Probabilistic time series modeling in Python

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

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

Ecommerce Search and Discovery - marqo.ai

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.

Time series forecasting with PyTorch