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stdnet - original: C++ networking class library; simple event-driven interface
stdnet2 - revamp: C++ class library for java-like programming; networking; etc.
stdnetj - TODO: Java version of stdnet2
Dlab is an open-source cooperative effort to produce the best possible SDL-based classic arcade game. The people involved are all computer science students attending a programming course for interactive and multimedia intensive applications.
An implementation of the language described in "Karel the Robot: A Gentle Introduction to The Art of Programming" by Richard Pattis et al. Both Java and C/Unix versions are available.
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lipocovi stands for linear programming concept visualisation. The software gives cognitive support for Linear Programming Concept Apprehension and this release was develop with Qt+Mesa.
Standard Physical Constants headers and programming. Currently only
the NIST constants are included, but any SI compliant source of
data are welcomed.
Uses: conversion factors, calculations, physics, chemistry
Formats: c/c++ headers, yorick include
Petite is a tailor made library to develop using Objective-C, without any NeXTStep syntax. Petite is there to help people to discover Objective-Cprogramming.
An automarking framework for Java programming assignments.
This Jython based package simplifies creation of automarkers
for assignments. Handles unimplemented methods, private methods,
exceptions, detects all infinite loops and more.
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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.
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.
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.
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...