Showing 259 open source projects for "artificial intelligence python"

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  • 1
    A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.
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  • 2
    Neural Network calculation & learning library
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  • 3
    Easy to use neural network library in C++, to build networks with arbitrary (acyclic) topologies, both regular and recurrent (for data structures).
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  • 4
    Inanna is an object oriented artificial neural network C++ library. Libraries are based on MagiClib base class library (included).
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  • 5

    uealib

    Evolutionary algorithms library

    Фреймворк для работы с эволюционными алгоритмами, разрабатывается в Уральском государственном университете.
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  • 6
    LiNNS is not just a Neural Network Simulator, but a Neural Network System - a framework which covers the full lifecycle of a neural network, from design and research till usage in an external application.
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  • 7

    Nervous System

    A C++ Neural Network Toolkit

    Sourceforge is no longer being updated! This project has merged into another that can be found here: https://github.com/nicrohobak/Toolbox The designer portion is currently on hold. ------------------------------------------------------------ A C++ neural network toolkit. This project is a C++ library for adding, potentially complicated, neural networks to any project. libNervousSystem is developed in conjunction with the GUI tool, Nervous System Designer, to easily generate...
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  • 8
    openlpr is a open source project to implement license plate recognition in Win32 and Linux platform. It will provide the basic image processing to locate plate and character split and a neural network design to recognize character.
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  • 9
    DBNL

    DBNL

    Dynamic Bayesian Network Library

    DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary...
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