Search Results for "artificial intelligence python"
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Showing 5 open source projects for "artificial intelligence python"
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TXM
Unicode XML TEI text analysis platform
TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP... -
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Java Decision Diagram Libraries (BDD)
Java Decision Diagrams (BDD) libraries: JDD and JBDD
This project has been moved to bitbucket.org: - https://bitbucket.org/vahidi/jbdd/wiki/Home - https://bitbucket.org/vahidi/jdd/wiki/Home It includes two libraries for working with decision diagrams: - JBDD: a Java interface to two popular BDD libraries, CUDD and BuDDy - JDD: a native Java library supporting BDD, Z-BDD -
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neuralnetgen is intended to be a universal neural net generator that receives a neural net description (on Neural Net Description Language, also developed on this project) and generates ANSI C code of a library that implements it.
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Computational modelling is a interdisciplinary field spanning many techniques and programming languages. AgenTools is a project dedicated to establishing increased modularity in scientific computing packages and a portal linking to other existing project
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kombinatoriC delta library
CAS Algorithms embeded as libraries.
Personal research achievements from the authors presented here in the form of symbolic Algebra and non-numerical analysis algorithms implemented in C/C++, Java, and/or Pascal. As part of a more wide, simple, powerful and robust CAS enviroment under development, new code will be continuously added up to this repository. The authors give their welcome and encouragement to everyone interested in bring some kind of collaboration.
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