Search Results for "genetic algorithm c"
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Showing 9 open source projects for "genetic algorithm c"
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PREESM provides a complete framework for fast prototyping. It generates a simulation and an optimized multiprocessor code from graph descriptions of algorithm and architecture. Please visit the project homepage at http://preesm.sourceforge.net.
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GloVe
GloVe model for distributed word representation
GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. The links provided contain word vectors obtained from the respective corpora. If you want word vectors trained on massive web datasets, you need only download one of these text files! Pre-trained word vectors... -
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Dinapter:
Generate adaptation contracts between incompatible services
...Camara, J.A. Martín, G. Salaun, J. Cubo, M. Ouederni, C. Canal, E. Pimentel. ITACA: An integrated toolbox for the automatic composition and adaptation of Web services, ICSE'09, 2009 - http://goo.gl/oFGe8 -
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breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.
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vuVolume is a framework for volume rendering algorithms in C++. When creating a new rendering method in vuVolume it is possible to just concentrate on the actual algorithm and let the framework take care of the more administrative tasks.
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IslandEv distributes a Genetic Algorithm (like <a href="/projects/jaga">JaGa</a>) across a network (see <a href="/projects/distrit">DistrIT</a>) using an island based coevolutionary model in which neighbouring islands swap migrating individuals every
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Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...
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GP@home is a new group/project dedicated to fully utilizing the combined concepts of genetic programming and distributed computing to improve the quality of life for all human beings. Nothing is impossible working together.
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