verto.sh

The Julia Programming Language

scikit-learn: machine learning in Python

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

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

A library for training and deploying machine learning models on Amazon SageMaker

Deep universal probabilistic programming with Python and PyTorch

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

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.

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

Open source platform for the machine learning lifecycle

A Cloud Native Batch System (Project under CNCF)

cuML - RAPIDS Machine Learning Library

Probabilistic reasoning and statistical analysis in TensorFlow

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.

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