verto.sh

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

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

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

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 Cloud Native Batch System (Project under CNCF)

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

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

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

The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

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.

The Julia Programming Language

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

cuML - RAPIDS Machine Learning Library

Probabilistic reasoning and statistical analysis in TensorFlow