Showing 4 open source projects for "visual-"

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  • 1
    Bourbon

    Bourbon

    A lightweight sass tool set

    Bourbon is a library of Sass mixins and functions that are designed to make you a more efficient style sheet author. It’s not recommended that you modify Bourbon’s files directly as it will make updating to future versions difficult, by overwriting your custom changes or causing merge conflicts. Import Bourbon at the beginning of application.scss. Any project styles that utilize Bourbon’s features must be imported after Bourbon. Bourbon supports Internet Explorer 11+ and the latest versions...
    Downloads: 5 This Week
    Last Update:
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  • 2

    vcproj2cmake

    Visual Studio .vc[x]proj to CMakeLists.txt (make, Ninja ...) enabler

    Elaborate Visual Studio .vcxproj / .vcproj projects to CMakeLists.txt converter, enabling Makefile or Ninja or IDE builds, i.e. full multi-platform CMake functionality (Linux, Mac, Windows...). Live Update capability: supports side-by-side tracking of evolving original proj files, within build tree!! Script hooks for static CMake defs, powerful definition-to-variable mapping.
    Downloads: 0 This Week
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  • 3
    Ruby-processing

    Ruby-processing

    Bridge between the Processing creative-coding framework and Ruby

    Ruby-processing is a bridge between the Processing creative-coding framework (originally Java-based) and the Ruby language, created to let developers and artists write Processing sketches using Ruby syntax. It enables the well-known graphics, animation, interaction and sketching patterns of Processing in a Ruby environment, which can be appealing to those who prefer Ruby’s syntax or already live in the Ruby ecosystem. Though the project is now deprecated and newer alternatives exist, it...
    Downloads: 1 This Week
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  • 4
    Decision Tree

    Decision Tree

    ID3-based implementation of the ML Decision Tree algorithm

    ...Continuous features are evaluated across possible split points to build threshold-based binary branches. Discrete models classify unique labels and can be rendered for visual inspection. The library supports inconsistent datasets, multiple or symbolic outputs, and fallback values when no branch matches an input. Its Ruleset trainer converts a tree into pruned rules using a held-out portion of the training data. A bagging trainer builds ten rulesets and combines their predictions through voting.
    Downloads: 1 This Week
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