Machine-Learning-in-R

High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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.

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

A python library for decision tree visualization and model interpretation.

Automated database platform for PostgreSQL? - Your own DBaaS. The open-source alternative to cloud-managed databases.

Actionhero is a realtime multi-transport nodejs API Server with integrated cluster capabilities and delayed tasks

For extensive instructor led learning

DEPRECATED - Raspberry Pi Kubernetes cluster that runs HA/HP Drupal 8

Jupyter magics and kernels for working with remote Spark clusters