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Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
ISOcat is the, now discontinued, open source reference implementation of the ISO 12620 standard, which describes the data model and procedures for a Data Category Registry (DCR).
The Arbitrarily-Decomposed MPI FFT library is a C subroutine library for the computation of the multidimensional Fast Fourier Transform (FFT) of a distributed grid using the Message-Passing Interface (MPI).
Application to automatically merge gedcom files. It provides either a user or another program the ability to merge gedcom files with as little human interaction as possible and with high quality of matching results.
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This is a project to create a compiler that converts grammars written in SRGS standard (http://www.w3.org/TR/speech-grammar/) to a graph understandable by HMM based ASR engines. Check srgs-parser.sf.net
This toolkit facilitates easier connections between stored data, intermediate data, and data presented to users in Java applications. The classes are abstracted as much as possible to allow wide use for various types of programs.
ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are:
1. object design
2. portability (Linux and Windows support at least)
3. high performance
4. support for common data file formats, like CSV, ARFF (Weka), etc.
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This browser-based tool is a flexible solution for documenting both logical and physical database schema designs. It supports simple version tracking concepts to document schema changes in varying stages of planning and implementation.
** IMPORTANT NOTICE ** 10 Feb 2006 Code is being moved to the SMI subversion repository (http://smi-protege.stanford.edu/svn/owl/trunk/) Project will continue to be opensource. ProtegeOWL info at: http://protege.stanford.edu/overview/protege-owl.html
RunAsApproximator es un programa java multilenguaje que implementa algoritmos numéricos. Los datos de entrada son aquellos requeridos por cada algoritmo y los de salida son resultado final y los datos intermedios necesarios para alcanzar su resolución.