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Awesome List
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
GitHub stars and default-branch commits for alvinreal/awesome-opensource-ai.
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Build local 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.
🧙 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!
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.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
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.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
An open source python library for automated feature engineering
The Open Source Feature Store for AI/ML
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
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
Democratizing Reinforcement Learning for LLMs
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
Chronos: Pretrained Models for Time Series Forecasting
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!
cuML - RAPIDS Machine Learning Library
Simple and Distributed Machine Learning
Probabilistic time series modeling in Python
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Ecommerce Search and Discovery - marqo.ai