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    Bayesian Optimization

    Bayesian Optimization

    Python implementation of global optimization with gaussian processes

    This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder. Follow the basic...
    Downloads: 1 This Week
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  • 2
    TrackXY

    TrackXY

    Track & log x & y displacement, in realtime, of object in webcam

    Track, in realtime, horizontal and vertical displacement of object in webcam. Log timestamp, x and y to comma-separated value (.csv) file importable to spreadsheet. Uses Lukas-Kanade algorithm and based on lkdemo.cpp in OpenCV, stripped down to track single point in high contrast against a uniform background. Based on the BSD licensed OpenCV, TrackXY also has BSD-style license. I am a bit embarrassed to be posting this here, because it's such a rudimentary program, but I couldn't find any...
    Downloads: 1 This Week
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