Showing 4 open source projects for "random walk"

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  • 1
    HiPS : Hierarchical Petri net Simulator

    HiPS : Hierarchical Petri net Simulator

    HiPS tool features to design and analyze hierarchical Petri nets

    ...HiPS tool has also functions of static/dynamic analysis : T-invariant detection, Reachability path analysis, deadlock state detection, and k-boundedness analysis. In addition, it is possible to perform a random walk simulation with each firing steps.
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    Downloads: 3 This Week
    Last Update:
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  • 2
    LinkLiar

    LinkLiar

    Link-Layer MAC spoofing GUI for macOS

    ...Everyone nearby may freely collect this unique identifier and use it to track your movement. Did you know that your phone does not send out its Wi-Fi identifier, but rather a random, fake one? This is to protect you from the common practice of businesses to track your movements when you walk around in stores. With LinkLiar you can achieve the same privacy for your MacBook. Though the MAC address is hardwired into your Wi-Fi network card, you are free to modify it.
    Downloads: 5 This Week
    Last Update:
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  • 3
    Kalibr Allan

    Kalibr Allan

    IMU Allan standard deviation charts

    ...These plots are analyzed to determine noise density and random walk parameters for both gyroscopes and accelerometers. The repository also includes example data and plots from real sensors such as the XSENS MTI-G-700, Tango Yellowstone Tablet, and ASL-ETH VI-Sensor, providing reference points for interpretation.
    Downloads: 0 This Week
    Last Update:
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  • 4
    node2vec

    node2vec

    Learn continuous vector embeddings for nodes in a graph using biased R

    The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction....
    Downloads: 0 This Week
    Last Update:
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