Showing 5 open source projects for "artificial intelligence linux"

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  • 1
    Accord.NET Framework

    Accord.NET Framework

    Scientific computing, machine learning and computer vision for .NET

    The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.
    Downloads: 4 This Week
    Last Update:
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  • 2

    NeuroSolutions: Formula Generator

    Utility converts the weights file of a MLP Breadboard into a formula

    The NeuroSolutions: Formula Generator utility converts the weights file of a default MLP breadboard (1-hidden layer with a TanhAxon in the hidden layer and either a TanhAxon or BiasAxon in the output layer) into a usable formula that can be copied and pasted into your own programs to compute the output of the trained neural network.
    Downloads: 0 This Week
    Last Update:
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  • 3
    This is home of the Generic Object Role Modeling Meta-Model (gORMmm). This ORM metamodel is designed as a software independent ORM metamodel for software developers/researchers of first-order logic, conceptual modeling, and artificial intelligence.
    Downloads: 0 This Week
    Last Update:
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  • 4
    SimMetrics is a Similarity Metric Library, e.g. from edit distance's (Levenshtein, Gotoh, Jaro etc) to other metrics, (e.g Soundex, Chapman). Work provided by UK Sheffield University funded by (AKT) an IRC sponsored by EPSRC, grant number GR/N15764/01.
    Downloads: 1 This Week
    Last Update:
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  • 5
    A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
    Downloads: 0 This Week
    Last Update:
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