Search Results for "c programming framework" - Page 2
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Showing 33 open source projects for "c programming framework"
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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.
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ComLinC (a COMmunications Library IN C programming language), a C library for communications research and simulation. It's based on GSL. ComLinC aims at providing elegent, fast functionality to the frequently encountered problems in communications area.
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SPServer is a C++ server framework library that implements the Half-Sync/Half-Async and Leader/Follower thread pool patterns. It's based on libevent in order to utilize the best I/O loop on any platform. It include an embedded http server and ssl proxy.
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.Net Generic Data Structures Provides parametric polymorphic data structores (the first is an AVL Binary tree, always balanced), for the .Net framework.
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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.
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This project aims to build a portable pure C++ framework for GPGPU operations. It is conceived to ease scientific researches that need to speed up algebric and calculus operations on normal hardware, without the need of graphic programming knowledge.
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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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DBNL
Dynamic Bayesian Network Library
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...
