Showing 6 open source projects for "matlab optimization toolbox"

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  • 1

    LAML:Linear Algebra and Machine Learning

    A stand-alone Java library for linear algebra and machine learning

    LAML is a stand-alone pure Java library for linear algebra and machine learning. The goal is to build efficient and easy-to-use linear algebra and machine learning libraries. The reason why linear algebra and machine learning are built together is that full control of the basic data structures for matrices and vectors is required to have fast implementation for machine learning methods. Additionally, LAML provides a lot of commonly used matrix functions in the same signature to MATLAB, thus...
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  • 2

    Java Library for Machine Learning

    A pure Java library for machine learning

    JML is a machine learning library in Java, it is a pure Java package, and thus is cross-platform. The goal of JML is to make machine learning methods very easy to use and speed up code conversion from MATLAB to Java. Please be noted that JML has been replaced by LAML.
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  • 3
    GPalta is a genetic programming toolbox that aims for simplicity and speed. It features tree-based genetic programming, optional strong typing, a GUI to control an evolution process (allows to save and continue later) and easy interoperability with Matlab
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  • 4
    Tool for visualizing artificial neural networks in Matlab using the Matlab Neural Network Toolbox (see wiki for details).
    Downloads: 0 This Week
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  • 5
    Projeny (Probablistic Networks Generator in Java) is a graphical (Java SWT) front-end to BNT (Bayes Net Toolbox for Matlab). Projeny requires BNT, JMatLink and a Matlab back-end. There is no installable release package, but source code is available on SVN - please check out from SVN to use Projeny. Projeny was started with BNJ as the base.
    Downloads: 0 This Week
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  • 6
    Particle Swarm Optimization toolkit (with GUI) - Allows you to implement PSO algorithm for optimization of engineering/finance/management systems.
    Downloads: 1 This Week
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