Showing 5 open source projects for "gridlab-d"

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    DownSmith Markdown Editor

    DownSmith Markdown Editor

    A powerful, feature-rich Markdown editor with real-time HTML preview.

    DownSmith provides an intuitive editing experience with comprehensive formatting tools, syntax highlighting, live preview, table creation, spell checking, footnotes, HTML export, and intelligent image handling. Runs without Java being installed on Windows. On macOS and Linux requires Java 11 or better installed. A Java 8 version is provided that has all the functionality of the Java 11 version except footnotes.
    Downloads: 1 This Week
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    Vrapper

    Vrapper

    Vim-like editing in Eclipse

    Vrapper is an eclipse plugin which acts as a wrapper for existing eclipse text editors to provide a Vim-like input scheme for moving around and editing text. Eclipse Update Site: http://vrapper.sourceforge.net/update-site/stable
    Downloads: 6 This Week
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  • 3

    Ghawwas_V4

    An open source system for Arabic corpora processing

    ...Ghawwas V4.0 provides the following main functions: a. Frequency list for single word and N-Grams b. Concordance c. Collocation (MI, CHI Squared, LL, T-Score, Z Score, Dice, Log Dice, Weirdness Coefficient) d. Lexical patterns search e. Two corpora frequency profile comparison based on MI, CHI, LL, T-Score, Z Score, Dice, Log Dice, Weirdness Coefficient f. Accept Windows and UTF-8 character encoding g. Accept TXT, DOC, DOCX, RTF and HTML formats h. Export the processing results in CSV file format
    Downloads: 0 This Week
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  • 4
    odt2braille
    odt2braille is a Braille extension to OpenOffice.org Writer. odt2braille enables authors to print documents to a Braille embosser and to export documents as Braille files. The Braille output is well-formatted and highly customizable.
    Downloads: 10 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
    Downloads: 0 This Week
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