Showing 88 open source projects for "term"

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  • 1
    Grenade

    Grenade

    Deep Learning in Haskell

    Grenade is a composable, dependently typed, practical, and fast recurrent neural network library for concise and precise specifications of complex networks in Haskell. Because the types are so rich, there's no specific term level code required to construct this network; although it is of course possible and easy to construct and deconstruct the networks and layers explicitly oneself. Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only the layers of the network but also the shapes of data that are passed between the layers. ...
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  • 2
    RadCristaOS
    ...The installation is enough to unpack the archive to any such carrier and inserted into the usb-connector to gain access to it. In contrast to the classical understanding of the term "operating system", this product is a non-material (mental) set of programs based on advanced artificial intelligence, a virtual person pretending pretty girl - Crista.
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  • 3

    CURRENNT

    CUDA-enabled machine learning library for recurrent neural networks

    CURRENNT is a machine learning library for Recurrent Neural Networks (RNNs) which uses NVIDIA graphics cards to accelerate the computations. The library implements uni- and bidirectional Long Short-Term Memory (LSTM) architectures and supports deep networks as well as very large data sets that do not fit into main memory.
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  • 4

    LillyTab

    Another free OWL/DL Reasoner

    LillyTab is a modular description logic consistency checker (reasoner) with support for a subset of OWL/DL.
    Downloads: 0 This Week
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  • 5
    ...The jar can be used to (a) get all the terms in the corpus (b) get the document frequency (DF) and inverse document frequency (IDF) of all the terms in the corpus (c) get the TF-IDF of each document in the corpus (d) get each term with their frequency (no. of presence), term frequency (TF) and TF-IDF in every document
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  • 6

    TextProcessor

    A Java package to preprocess text datasets for posterior text analysis

    The TextProcessor Java package is a text processing toolkit, which provides some frequently used text processing functions such as stemming, removing stop-words, generating a term vocabulary, and calculating the term-doc frequency matrix. Basic topic mining models such as LDA and sparse NMF are also supported. The package can also generate feature files from a given text dataset with LDA and LIBSVM format for posterior procedures such as classification or clustering. The toolkit is also being extended for more advanced text analysis tasks based on natural language processing techniques.
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  • 7

    TML - Text Mining Library for LSA & CMM

    TML is a Java Library for LSA and extracting Concept Maps from text

    TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml
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  • 8
    An omnifont OCR engine. The long-term goal is recognition of formulas.
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  • 9

    alto_search

    Search full text in ALTO xml and return context

    ALTO files are XML files that store the output of OCR. Alto_search searches for terms in these ALTO files. A term can be several words and multiple terms can be searched at the same time. The output is in XML format and contains the coordinates of the words that were found as well as textual context around the hits.
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  • 10
    Rule-action based term rewriting framework, designed be embedded in Java applications.
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  • 11
    RegMAS (Regional Multi Agent Simulator) is a spatially explicit multi-agent model framework, developed in C++ language and designed for long-term simulations of effects of government policies over agricultural systems (farm sizes, incomes, land use..).
    Downloads: 0 This Week
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  • 12
    NeuroEvolver is a tool for training and experimenting with one particular kind of recurrent neural networks, namely Long Short-Term Memory networks using an evolutionary learning method.
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  • 13
    NeuroBox is an .NET OOP Library to generate, propagate and train complex neuronal networks with technologies like backpropagation with weight decay, momentum term, manhattan training, flatspot elimination etc.
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