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OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

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.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

🦉 Data Versioning and ML Experiments

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

ML.NET is an open source and cross-platform machine learning framework for .NET.

scikit-learn: machine learning in Python

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.

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

Open source platform for the machine learning lifecycle

cuML - RAPIDS Machine Learning Library

Streamlit — A faster way to build and share data apps.

A Cloud Native Batch System (Project under CNCF)

AI + Data, online. https://vespa.ai