Showing 85 open source projects for "google-visualization-python"

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  • 1
    1. Create an object-oriented python script that can represent mathematical concepts and their properties. 2. Represent all numeric values exactly. 3. Provide a variety of formats to export or embed representations of the mathematical concepts.
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  • 2
    This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
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  • 3
    Python module to track the overall median of a stream of values "on-line" in reasonably efficient fashion.
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  • 4
    A small simulator for Mendelian genetics, genetic drift, natural selection and random mutations, built on matplotlib and wxpython. A graph will be generated that traces the distribution of genotypes at successive generations.
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  • 5
    PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
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  • 6

    Polyhedral Power Curve

    Generate a power curve for tests of fairness for polyhedral dice.

    Generates a power curve for a Pearson's chi-square test for polyhedral dice given the number of faces on the die and the number of "rolls" to generate.
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  • 7
    PYthon RELiabilitY A python package implementing state-of-the-art numerical methods arising in the field of uncertainty quantification : from statistical inference to uncertainty propagation for various purposes.
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  • 8
    Classic Texas Hold'Em Poker game in python.
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  • 9

    imael

    remove me

    IMAEL stands for Image Matlab Analysis and Estimation Library. It consists in a collection of functions for image filtering, analysis, visualization, for 2D, 3D grayscale and color images.
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  • 10
    ExoPlanet

    ExoPlanet

    GUI based toolkit for running common Machine Learning algorithms.

    ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve,...
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