libxgboost-predictor-java

Java implementation of XGBoost predictor for online prediction tasks

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment (Kubernetes, Hadoop, SGE, MPI, Dask) and can solve problems beyond billions of examples.

tryton-modules-stock-lot-unit

Tryton application platform - stock lot unit module

Tryton is a high-level general purpose application platform. It is the base of a complete business solution as well as a comprehensive health and hospital information system (GNUHealth).

libnode108

evented I/O for V8 javascript - runtime library

Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

tryton-modules-stock-quantity-early-planning

Tryton application platform - stock quantity early planning module

Tryton is a high-level general purpose application platform. It is the base of a complete business solution as well as a comprehensive health and hospital information system (GNUHealth).

librdf0t64

Redland Resource Description Framework (RDF) library

Redland is a library that provides a high-level interface for RDF (Resource Description Framework) implemented in an object-based API. It is modular and supports different RDF/XML parsers, storage mechanisms and other elements. Redland is designed for applications developers to provide RDF support in their applications as well as for RDF developers to experiment with the technology.

libgnuradio-wavelet3.10.7

gnuradio wavelet functions

Library of Daubechies wavelet function blocks. wvps computes the Wavelet Power Spectrum from a set of wavelet coefficients.