Showing 134 open source projects for "fast linux"

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  • 1
    This project develops a simple, fast and easy to use Python graph library using NumPy, Scipy and PySparse.
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  • 2
    SMILE = Speech & Music Interpretation by Large Space Extraction openSMILE is a fast, real-time (audio) feature extraction utility for automatic speech, music and paralinguistic recognition research developed originally at TUM in the scope of the EU-project SEMAINE, now maintained and supported by audEERING.
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  • 3
    TreeLiker

    TreeLiker

    TreeLiker is a collection of fast algorithms for working with complex

    TreeLiker is a collection of fast algorithms for working with complex structured data in relational form. The data can, for example, describe large organic molecules such as proteins or groups of individuals such as social networks or predator-prey networks etc. The algorithms included in TreeLiker are unique in that, in principle, they are able to search given sets of relational patterns exhaustively, thus guaranteeing that if some good pattern capturing an important feature of the problem...
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  • 4
    Nen

    Nen

    neural network implementation in java

    3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Quick Start: "java -jar nen.jar"
    Downloads: 0 This Week
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    Yann
    Yann is Yet Another Neural Network. Yann is a library to create fast neural networks. It is also a GUI to easily create, edit, train, execute and investigate networks. Multiple topologies, runtime properties and ensemble learning are supported.
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  • 6
    Neural Mesh
    Neural Mesh is a purely PHP, fast, easy Neural Network Manager, Administrator and Framework. It allows you to integrate Artificial Intelligence into your applications, quickly and easily, no matter what your experience.
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  • 7
    Qt Handwriting Recognizing it's a simple Qt GUI interface of a artificial neural network to provide handwrite recognition. This project use FANN (Fast Artificial Neural Network) on first approach.
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  • 8
    A general purpose Finite State Machine written in Java. It is easy to use, powerful, and fast.
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  • 9
    a distributed engine for abstract neural network development via natural-language programming
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