Open Source Perl Machine Learning Software for Linux

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Perl Machine Learning Software for Linux

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  • 1
    openEAR is the Munich Open-Source Emotion and Affect Recognition Toolkit developed at the Technische Universität München (TUM). It provides efficient (audio) feature extraction algorithms implemented in C++, classfiers, and pre-trained models on well-known emotion databases. It is now maintained and supported by audEERING. Updates will follow soon.
    4 Reviews
    Downloads: 12 This Week
    Last Update:
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  • 2
    BCAR is a library for the associative classification, which denotes "Boosting Class Association Rules". BCAR provides a general tool for classification tasks with various types of input data.
    Downloads: 0 This Week
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  • 3
    BreakDancer-0.0.1 is a Perl package that provides genome-wide detection of structural variants from next generation paired-end sequencing reads.
    Downloads: 0 This Week
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  • 4
    Featurama is a library that implements various sequence-labeling algorithms. Currently Michael Collins' averaged perceptron algorithm is fully implemented.
    1 Review
    Downloads: 0 This Week
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  • 5
    The goal of this project is to investigate optimal ways to do genre classification for the ten indigenous South African languages. Funded by Dept of Arts and Culture of the SA Government. http://www.trifonius.co.za/projects/genre-classification
    Downloads: 0 This Week
    Last Update:
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  • 6

    bnns

    Research tool for interactive training of artificial neural networks.

    BNNS is a research tool for interactive training of artificial neural networks based on the Response Function Plots visualization method. It enables users to simulate, visualize and interact in the learning process of a Multi-Layer Perceptron on tasks which have a 2D character. Tasks like the famous two-spirals task or classification of satellite image data.
    Downloads: 0 This Week
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