Showing 4 open source projects for "community"

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    EEGLAB

    EEGLAB

    EEGLAB is an open source signal processing environment

    EEGLAB is an open source, MATLAB-based interactive environment for analyzing electrophysiological signals such as EEG and MEG. It incorporates powerful tools for data import, preprocessing, independent component analysis (ICA), time-frequency analysis, artifact rejection, and visualization—all within a GUI framework that also supports scripting and plugin extensions. EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and Octave (command...
    Downloads: 3 This Week
    Last Update:
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  • 2
    TIGRE

    TIGRE

    TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

    ...TIGRE is free to download and distribute: use it, modify it, add to it, and share it. Our aim is to provide a wide range of easy-to-use algorithms for the tomographic community "off the shelf". We would like to build a stronger bridge between algorithm developers and imaging researchers/clinicians by encouraging and supporting contributions from both sides to TIGRE.
    Downloads: 1 This Week
    Last Update:
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  • 3

    OpenFace

    A state-of-the-art facial behavior analysis toolkit

    OpenFace is an advanced facial behavior analysis toolkit intended for computer vision and machine learning researchers, those in the affective computing community, and those who are simply interested in creating interactive applications based on facial behavior analysis. The OpenFace toolkit is capable of performing several complex facial analysis tasks, including facial landmark detection, eye-gaze estimation, head pose estimation and facial action unit recognition. OpenFace is able to deliver state-of-the-art results in all of these mentioned tasks. ...
    Downloads: 25 This Week
    Last Update:
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  • 4
    LAMBDA toolkit
    LAMBDA is a MatLab toolkit that performs multivariate autoregressive first-order data analysis. LAMBDA estimates community interactions using matrix algebra. The target audience is scientists with long-term ecological data.
    Downloads: 0 This Week
    Last Update:
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