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  • 1
    ImageFiltering.jl

    ImageFiltering.jl

    Julia implementations of multidimensional array convolution

    Julia implementations of multidimensional array convolution and nonlinear stencil operations. ImageFiltering implements blurring, sharpening, gradient computation, and other linear filtering operations, as well nonlinear filters like min/max.
    Downloads: 0 This Week
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  • 2
    Sweetviz

    Sweetviz

    Visualize and compare datasets, target values and associations

    ...Sweetviz integrates associations for numerical (Pearson's correlation), categorical (uncertainty coefficient) and categorical-numerical (correlation ratio) datatypes seamlessly, to provide maximum information for all data types. Automatically detects numerical, categorical and text features, with optional manual overrides. min/max/range, quartiles, mean, mode, standard deviation, sum, median absolute deviation, coefficient of variation, kurtosis, skewness.
    Downloads: 0 This Week
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  • 3
    Java Tablesaw

    Java Tablesaw

    Java dataframe and visualization library

    ...Tablesaw supports data visualization by providing a wrapper for the Plot.ly JavaScript plotting library. Here are a few examples of the new library in action. Descriptive stats: mean, min, max, median, sum, product, standard deviation, variance, percentiles, geometric mean, skewness, kurtosis, etc. Add tablesaw-core to your project. You can find the version number for the latest release in the release notes.
    Downloads: 0 This Week
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