Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.

Framework for building real-time, large-scale machine learning applications. Includes end-to-end applications for collaborative filtering, classification, regression, and clustering.

Cloud native streaming and complex event processing engine.

Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution. (GPL-3.0-only)

A lightweight, platform independent, OpenCL accelerated nd-array/tensor library.

Seamlessly integrate with remote deep learning and language models programmatically.