Showing 3 open source projects for "network discovery visualisation"

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    Volatility

    Volatility

    An advanced memory forensics framework

    Volatility is a widely used open-source framework for analyzing memory captures (RAM dumps) from Windows, Linux, and macOS systems. It enables investigators and malware analysts to extract process lists, network connections, DLLs, strings, artifacts, and more. Volatility supports many plugins for detecting hidden processes, malware, rootkits, and event tracing. It’s essential in digital forensics and incident response workflows.
    Downloads: 133 This Week
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  • 2
    Model Search

    Model Search

    Framework that implements AutoML algorithms

    ...The framework logs trials, metrics, and artifacts so you can analyze what the search learned and why certain designs dominate. It’s intended as a platform for method development as much as for model discovery.
    Downloads: 0 This Week
    Last Update:
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  • 3
    We aim to develop a transformative computational method for automatic discovery of a set of dynamical rules that best captures both state transition and topological transformation in the data of spatio-temporal evolution of a complex network.
    Downloads: 0 This Week
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