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RL++ is an easy to use modular open source library for Reinforcement Learning written in C++. It includes learning algorithms (TD, Sarsa, Q) as well as the implementation of value function representations (LookupTable, TileCoding, Neuronal Network).
It moves by itself inside networks like virus infection & plagues, it is being written to solve computer virus problem drastically and responsibly. It is legal, free and open for public domain to improve W3 ICT Security.
TiGems is a Graphical Engineering Modeling System owned by Tsinghua University. A part of the libraries used in TiGems is now open-sourced. These libraries are hosted in SourceForge now.
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A standalone, STL interface to the Torch library's Support Vector Machine (SVM). It supports single or multiclass (one vs. all) classification using dot product, polynomial, Gaussian and sigmoid kernels.
A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.
This is a library for an extensible framework for range encoding. The framework is an extensible object-based state machine where probabilities are chosen based on the current frame the machine is in.
The SBMLevolver is an evolutionary algorithm package that creates SBML models with user-specified properties and behaviour from a given set of building blocks. Applications lie in network reconstruction and synthetic biology.
The goal of an Open Math Library is to provide the basic set of math-related classes and functions for 3d engine development. Currently the library has implementations for vectors (2 to 4 dimensional), matrices, planes and quaternions.
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.
Integer Singular Value Decomposition Genetic Algorithm Function Fitter. This is an optimization algorithm that performs a similar role to a neural network.
It's an implementation of the A* algorithm together with a grid processor which pre-processes 8-bit bpm graphic files using a variable resolution and an SDL user interface to test it.
The "Knight's Tour" is a puzzle the object is to move a knight, to every other square, landing on each square only once. This is usually considered to be a challenging puzzle. I will use a heuristic (hyu̇-ˈris-tik) approach to solve the problem.