Machine-Learning-in-R

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

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.

The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ? ? ??

Storage Orchestration for Kubernetes

CMAK is a tool for managing Apache Kafka clusters

Open-Source Web UI for Apache Kafka Management

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.

Context-Free Grammar Parser

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG