verto.sh

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

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

Instant Kubernetes-Native Application Observability

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.

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

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

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

Tensors and Dynamic neural networks in Python with strong GPU acceleration

scikit-learn: machine learning in Python

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

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

A Cloud Native Batch System (Project under CNCF)