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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.
The aim is to develop a foundation for a FPGA hardware platform able to run Linux kernel and software. It must be easy to add hardware accelerated ip-cores to the FPGA. Ethernet and TCP/IP is a corner stone of the hardware and software.
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Attempt to create a PHP-framework: component-oriented; with global DI-container; for micro-services and also for big module-builded projects; with its own ORM. Little demo: http://complex.php.gi.igor-gilman.de.
A powerful hashing library with features like dynamic bucketsize adjustments, thread safety, generic interface, rbtree bucket storage and a bundle of hashing algorithms.
This project aims at providing an implementation of some state-of-the-art techniques for summarizing multi-dimensional data. Multi-dimensional data summarization can effectively support query optimization algorithms and OLAP applications.
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.
Provides functional programming abstractions for C# including map, fold, filter functions for .NET collections, the option data type, a lazy type, a functional list type, lazy functional lists, and more. Superseded by http://sf.net/projects/sasa/
Provide Reference Implementations of Data Structures in Python(3)
The aim of the project is to provide reference implementations of data structures along with supporting references to publications and other materials.
The only purpose is for fun and education: I like data structures.
Cluster Analysis Wrapped Feature Subset Selection (CAWFSS) is a collection of feature subset selection algorithms which use various cluster analysis algorithms as wrappers.
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.
The SP is a tool is a tool to research for automatic synthesis of protocols using genetic programming. This tool will allow the construction of heuristics to apply techniques simulation and validation of models.
This simplesudodu program is intend for studying in the sudoku solution algorithm rather than a game (If you want to make it a game, it's OK ^_^). Later I will implement the 4*4 or other kinds. Different sudoku requires different algorithm to solve.
A p2p filesharing application, where every1 is forced to seed for a certain period and then every1 gets to download with a guaranteed number of seeders as well, for a certain perion of time.
SCOPE stands for Symbolic COmputation Parallel Environment. We aim at providing an environment for symbolic computation, that is easily expandable, easy to use, parallel, effective and free.
A Web based IDE that supports nodes and edges (graphs) with attributes. An interpretor executes your graphs. Views of graphs allow developers to see references to variables, easily see the path of execution and rearrange the structure of data and program
Integer Singular Value Decomposition Genetic Algorithm Function Fitter. This is an optimization algorithm that performs a similar role to a neural network.
Application to automatically merge gedcom files. It provides either a user or another program the ability to merge gedcom files with as little human interaction as possible and with high quality of matching results.