Awesome Opensource Ai

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Open Machine Learning Compiler Framework

Build voice agents with open-source models

Low-code framework for building custom LLMs, neural networks, and other AI models

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

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

🐍 Geometric Computer Vision Library for Spatial AI

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Open source annotation tool for machine learning practitioners.

Fast and Accurate ML in 3 Lines of Code

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

Build, Manage and Deploy AI/ML Systems

A unified framework for machine learning with time series

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

AutoML library for deep learning

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.

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.

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

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

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

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

An open source python library for automated feature engineering

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

The Open Source Feature Store for AI/ML

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

Fit interpretable models. Explain blackbox machine learning.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

TensorFlow documentation

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

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

A system for quickly generating training data with weak supervision

A model-driven approach to building AI agents in just a few lines of code.

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

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

Democratizing Reinforcement Learning for LLMs

Chronos: Pretrained Models for Time Series Forecasting

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

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

Supercharge Your Model Training

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

Probabilistic time series modeling in Python