Showing 7 open source projects for "network analysis"

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  • 1
    Affine Transformation of Virtual Object

    Affine Transformation of Virtual Object

    Transformation virtual 3D object using a finger gesture-based system

    ...This is the version 2.0 that includes a more generalized affine transformation of virtual objects in the virtual environment with more experimentation and analysis. Previous versions only include the geometric transformation of a virtual 3D object with respect to a finger gesture. Paper for the affine transformation of the virtual 3D object has been published in Virtual Reality & Intelligent Hardware, Elsevier Science Publishers in 2020.
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  • 2
    A collection of software made by Milos Rancic.
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  • 3
    Pumilio
    Pumilio is a web-based sound analysis and archive system for almost any kind of sound file with tools to see the spectrogram of the sound, select regions for further analysis and insertion in a database, filtering, and many other manipulations.
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  • 4
    MyNook

    MyNook

    A machine learning system for supervised document classification

    An open source system for supervised document classification based on statistical machine learning techniques. On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself.
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  • 5
    Transana is a cross-platform tool for the transcription and qualitative analysis of audio and video data. It also provides the ability to identify and organize analytically interesting portions of videos, as well as attach keywords to those video clips.
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  • 6
    Everyday Software for the Researcher of Restricted Means: This project is intended to offer scientists and students with small budgets advanced versions of aqua-built desktop-editing, graphics and statistical applications for MacOSX.
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  • 7
    MacVisSTA: Macintosh Visualization for Situated Temporal Analysis. This is an open source system designed for Mac OS X. This software permits visualization of multiple time-synchronized videos in conjunction with one or more graphical plots/annotations.
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