Showing 5 open source projects for "offline tasks management"

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  • 1
    TXM

    TXM

    Unicode XML TEI text analysis platform

    TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP...
    Downloads: 11 This Week
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  • 2
    Graphical Grammar Studio

    Graphical Grammar Studio

    An user friendly grammar tool for natural language processing tasks

    Full documentation with tutorials is included in the download package. Graphical Grammar Studio is a tool for applying grammars which behave as words acceptors/consumers and annotators. GGS grammars can be used to find and annotate sequences of words which respect certain conditions, in a given input. Its purpose is for creating NLP tools like phrase chunkers, named entity finders, pronoun co-reference solvers etc. A grammar is represented by a state machine which can be visualized, edited...
    Downloads: 0 This Week
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  • 3

    Ocean Sync

    Hadoop Management System

    OceanSync is an Hadoop Management System that allows users to control a variety of aspects of Hadoop. This includes a Graphical User Interface that allows a user to perform HDFS maintenance tasks and submit new jobs to the cluster. The OceanSync product sits on top of any Hadoop Architecture.
    Downloads: 0 This Week
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  • 4
    jIR is an open source project focused on building an open platform for image processing tasks. It is composed of individual algorithms whose task is to extract or compare information in a data set of images.
    Downloads: 0 This Week
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  • 5
    The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.
    Downloads: 0 This Week
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