Showing 5 open source projects for "network security toolkit"

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  • 1
    Modular toolkit for Data Processing MDP
    The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded.
    Downloads: 8 This Week
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  • 2

    xorlisp

    Bit level lambda continuations and nothing else - Queue automata

    Not working yet. To deal with the Halting Problem, computing and data are navigated using debugger ops: linearForward and treeForward, which navigate an astronomically large bit string where 1 is ( and 0 is ). All pairs are derived from (). For example, true is represented as ((()())()), and false is (()(()())). It appears related to the church encoding of lambda where T chooses first parameter and F chooses second, of a pair. Continuations are nearly finished code and are represented as a...
    Downloads: 0 This Week
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  • 3

    Visual Integer Factor

    Puzzle game demonstrating whats so hard about binary integer factoring

    VisualIntFactor will be an interactive educational and scientific tool demonstrating multiply, factor, conversion between unary counting and binary integers, all in the same grid of hexagons. This grid is based on pascals triangle, which is a 1d cellular automata that calculates (X choose Y) factorials by each cell being the sum of the 2 cells upleft and upright. Draw a binary integer from a cell going upright, then explore the allowed transforms which may lead you to a factored state in 2...
    Downloads: 0 This Week
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  • 4
    A collection of small utilities with a connection to cryptography and cryptanalysis. Written for efficiency and a small memory footprint.
    Downloads: 0 This Week
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  • 5
    Java/XML toolkit for research using Bayesian networks and other graphical models of probability (exact and approximate inference, structure learning, etc.)
    Downloads: 0 This Week
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