Search Results for "machine learning platform"

VirtualBox is a powerful open-source full virtualization software that allows a user to run one or more “guest” operating systems simultaneously inside “virtual machines” on a single physical “host” machine. It supports a wide variety of host platforms (Linux, Windows, macOS, Solaris, etc.) and guest OSes, enabling, for example, running Linux on a Windows PC, running Windows Server on a Linux host, or even legacy OSes in a controlled environment. This flexibility makes VirtualBox ideal for...

* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code

Forget pruning! Get forever storage of your files, managing critical backups with bulletproof archival solutions and enterprise-grade reliability Far more efficient than Time Machine or ZFS snapshots-perfect for VM backups and permanent archiving, effortlessly handling TBs and millions of files Optimized for cloud/NAS/USB with ultra-low bandwidth, military-grade encryption, and 1GB/s+ speeds on modern hardware GUI (Win/Linux/Mac) https://sourceforge.net/projects/catpaq Why choose...

See TTS demo at: http://rslp.racai.ro/index.php?page=tts This is an entirely written in JAVA project which includes a set of tools and methods designed to enable Multilingual Text-to-Speech (TTS) synthesis. We currently support English and Romanian but we will soon train more models and make them available for download. If you want to read more about our other NLP and TTS tools check out http://nlptools.racai.ro.

A translation tools suite for Computer-Aided Translation / Computer-Assisted Translation (CAT). A translation processor with translation memory, machine translation and project support, bitext aligner/converter, TMX validator, and others.

bfrun is a Brainf*ck interpreter (Bf VM). bfrun written in pure Java and Platform - Independent. bfrun is high performance Bf VM with debugging support (works more fast than beef and gbf up to 20 times). Supported 8 ,16 and 32 bit memory.

R-Portfolio - breakeven optimally diversified investment portfolio. Оптимально диверсифицированный инвестиционный портфель.

Now part of Apache's Mahout machine learning project at http://mahout.apache.org/-- please see there for latest info and code and releases and support!

Machine learning toolkit for unsupervised and semi-supervised clustering that demonstrates excellent results on real-world data (see Bekkerman et al. ICML-2005 and ECML-2006).

The XPS is a scalable platform for meta-programming and domain engineering. It provides a virtual machine, compiler, and runtime library that make it possible to efficiently develop, debug, and run programs based on XPL (eXtensible Programming Language)

I am writing a software that will display internet traffic usage per node on a Lan network, ie a node correspond to a machine on a Lan. Ideally, the software will run on any platform regardless of the Operating System. However, version 0.1 will be

Basic concepts of And-Learning 1. INTRODUCTION The object of this report, is to be good as starting point for the development of a platform of and-learning whose nucleus is based in PHP-cloud. The following points are an analysis and ..

Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.