verto.sh

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

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

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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

scikit-learn: machine learning in Python

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

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

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

Open source platform for the machine learning lifecycle

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.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Deep universal probabilistic programming with Python and PyTorch

The Julia Programming Language

A Cloud Native Batch System (Project under CNCF)

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.