Showing 13 open source projects for "network visualization"

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  • 1
    Lucid

    Lucid

    A collection of infrastructure and tools for research

    ...Clone the repository and find them in the notebooks subfolder. You will need to run a local instance of the Jupyter notebook environment to execute them. Feature visualization answers questions about what a network, or parts of a network, are looking for by generating examples.
    Downloads: 1 This Week
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  • 2
    Tensorflow 2017 Tutorials

    Tensorflow 2017 Tutorials

    Tensorflow tutorial from basic to hard

    ...By pairing code examples with conceptual explanations, the tutorials make abstract machine learning ideas accessible and encourage experimentation with TensorBoard visualization and distributed training.
    Downloads: 4 This Week
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  • 3
    netmate

    netmate

    displays network protocol headers in uniform RFC like format

    Netmate is a GTK+ program that shows network protocols headers in 32-bit aligned fields, identical as they are represented in Request for Comments (RFCs). It can be used to learn and teach about network protocols and to understand their functionality and collaboration.
    Downloads: 2 This Week
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  • 4
    L\'application Web de la ligne du temps (timeline) permet à l\'utilisateur de consulter, de créer et de partager des lignes du temps et des scénarios d\'apprentissage, qui sont représentées graphiquement avec une échelle temporelle. Flex 2 et Ruby.
    Downloads: 1 This Week
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  • 5
    YANG J. (Yet Another Network Generator)
    YANG (Yet Another Network Generator - Java) enables you to generate social networks given various social rules observed in the real population. Uses: generate realistic networks to be used in individual-centric models, teaching or benchmarking.
    Downloads: 0 This Week
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  • 6
    It provides a graphical animated representation of a network simulation run (e.g. for ns-2). Further, common metrics are calculated and displayed. The tool is written in Java and supplies 2 frontends (applet and stand-alone application).
    Downloads: 0 This Week
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  • 7
    iSNS is an interactive neural network simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague.
    Downloads: 2 This Week
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  • 8
    Mwamko is a web interface for OpenVZ. As of August 18, 2007 the projects being transfered from SourceForge.net to Freshmeat.net
    Downloads: 0 This Week
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  • 9
    The NEtwork Visualisation Environment is a framework for 3D-visualisation of and interaction with networks, especially communication networks as the internet in both real time and as a simulation tool. Based on JMX/Java3D.
    Downloads: 0 This Week
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  • 10
    Simbrain is a java-based neural network. It is no longer being hosted here. Most information and downloads are at the homepage, www.simbrain.net. The development page is http://code.google.com/p/simbrain/
    Downloads: 1 This Week
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  • 11
    Visualize.It is an open source web project for visualization and analysis of open source community networks. Your help is welcome! Mail to one of the project admins (dominik-marx, geti7, xplox) for more informations.
    Downloads: 0 This Week
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  • 12
    MATHOOL

    MATHOOL

    a tool to perform symbolic math calculations

    MATHOOL is an online and offline javascript application powered by REDUCE computer algebra system, JSXGraph and other open source javascript programs devoted to scientific calculations and graphic visualization.
    Downloads: 0 This Week
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  • 13
    DBNL

    DBNL

    Dynamic Bayesian Network Library

    DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary...
    Downloads: 0 This Week
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