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This project is a highly flexible implementation of the well known bin packing algortihms: next fit, first fit, best fit, worst fit. The elements and bins may have any number of dimensions.
General purpose state observation library for Plan Old Java Objects. It enforces Model-View-Controller paradigm, has well defined API and set of ready made implementation algorithms.
Project Tokaf is an general implementation of top-k algorithm. It provides interfaces for all modules that are needed. It also features user preferences module, for computing new preferences and manipulating existing ones.
KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
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A Javaimplementation of the NEAT algorithm as created by Kenneth O Stanley. Also provides a toolkit for further experiments to be created and can provide both local and distributed learning environments.
SMSCompress is a project of investigation, development and implementation of different SMS compression techniques.
Using these techniques, SMS of more than 160 characters can be sent at only one SMS, saving money to the user ;)
Currently, all existing formal tools are designed to serve as formal verifiers, using one implementation or another. NO tool is providing a global framework to develop algorithms.
Silicis is a new formal framework for designing [verification] algorithms.
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jpaul is a Javaimplementation of several
algorithms widely used in program analysis. It emphasizes
flexibility and ease-of-use and is independent of any specific
compiler infrastructure project. BSD Licence.
distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.
A Javaimplementation of a cubic B-spline curve smoothing function.
Allows an arbitary number of points with a variable number of dimensions to have a cubic B-spline curve "fitted". Useful in finance for analysing bond or swap yield and discount curves.