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METSbuilder is a digitisation tool. It extracts technical metadata from master image files and produces METS metadata packages for the item, containing structural, bibliographic (Dublin Core), technical image (MIX) and preservation (PREMIS) metadata.
The UIUC OAI Metadata Harvesting Project software for creating OAI Providers & Harvesters is implemented in Visual Basic and Java, and includes various stand-alone packages, plus object libraries which can be used to develop custom Providers or Harvester
A book aimed at C++ programmers of all experience using wxWidgets and wxDev-C++. Available in PDF and CHM formats this book is backed with downloadable source code examples.
This is module for basic computation with floating point numbers. Numbers can have very wide mantissa for good precision, for realize "arbitrary-precision arithmetic". Module was adapt for BCB and MSVC compilers. Russian comments.
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This is a basic substitute for expensive library software. It will require you to manually enter all the titles, authors, and ISBN-13s into a database at first, but after that maintenance is easy.
The Pennsylvania State University's ACM Competition source repository. For fair, free and open competition. For the development of educational materials in the realm of competitive software development.
hostingstar.com.au's open source software.
To be used primarily for dotnetnuke modules, a cross platform backup system, .net (dotnet) user controls, 3d plugins and many other bits and pieces.
Adapt is data conversion language developped in 1984 by Norman W. Molhant and Christophe Dupriez. It has been used in many circumstances, it translated itself in many programming environment and it should evolve now toward modern environments like Java.
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Numerikus is an attempt to build a set of numerical libraries written in C/C++, Fortran, Java and C# for single processor and multi-core processors. It wil have from basic functions to Linear Algebra solvers and ODE's and PDE's methods.
DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms.
It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure.
It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary...