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Modules for developing, configuring and running a computation based on function blocks entirely in Python. Function block based computation is a data, event and state driven approach to data processing.
My personal computing suite provides some programs I developed as a hobbyist and currently include a lambda calculus interpreter and a calculator which solves arithmetic expressions; both are written in C++.
Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes.
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This is a python implementation that handles floating points correctly,there are still some bugs but I'm working on it . The point was to work around some stuff that made no sense for floats,like 0.1+0.2 == 0.3 is false.
ProViz is a program visualization framework for Java. It is built as a plugin to the Eclipse IDE. (We are getting close to publishing resources and making this project distributable. Stay tuned!) A video demo: http://www.youtube.com/watch?v=BsoK1n-OM
swIMP (swig-based Interfaces for Mathematical Programming) provides Java wrappers for solvers written in C or C++. The current focus is on accessing OSI-compatible linear programming (LP) solvers from the Coin-OR-project (e.g. Clp, GLPK, MOSEK, CPLEX).
http://www.open-source-soft.narod.ru/VoiceDetector.7z It voice detector class,for detecting human speech, anti noise, anti tones, standard C++, completely cross-platform by recompilation.
RobGP is a genetic programming system written from the ground up in C++. It's primary goals are efficiency, ease of use, and extensibility. It's distinguishing feature is that it has a modified version of Koza's architecture altering operations.
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The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
NOTE: Project has been delayed due to other tasks.
Genetic Algorithms General Solver (GAGENES) is a C++ implementation of the genetic algorithm concept.
SWARD (System for Weapon Allocation Research and Development) is a testbed for benchmarking weapon allocation algorithms against each other. It is intended for researchers within operations research, information fusion, and related areas.
Project consists in a software that reads a copied web site to your computer and generates a graph model of it. The model is based on the links, which are seen as the edges, and the pages, which are the vertices of the graph.
Headrand is a static library wrote in c that contains functions to simulate complex systems or make statistical analysis with a new approach called "random function computing"
X-GAT (XML-based Genetic Algorithm Toolkit) is a Java framework to optimize problems with Genetic Algorithms (GAs). Differently from other frameworks, X-GAT contains ready-to-use GAs implementations and new features can be easily added.
Data types and utility classes for use with evolutionary algorithms.
EZvolve Foundation Classes is a set of data types and utility classes for use with evolutionary algorithms. Currently implemented support for bit string encoding, populations, fitnesses, fitness functions, probabilities, and probability vectors.
The game of Cows-n-Bulls is back ! Gnu-Moo aims to provide a command line as well as GTK+ front-end for the user to play the cows-n-bulls game. Multi-game sessions and relevant session stats are provided, which can be useful to test heuristic algorithms.