Showing 7 open source projects for "self-extracing"

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  • 1
    PetoronHash-System

    PetoronHash-System

    PHASH | post-quantum XOF hashing algorithm | C++20

    PHASH is a self-contained, dependency-free, post-quantum XOF hashing algorithm implemented in modern C++20. This release delivers the first fully stable production implementation of the PetoronHash-System — a 1600-bit sponge-based hash function with domain separation, extendable output, and deterministic behavior. Key Features No external dependencies — pure C++20 implementation.
    Downloads: 0 This Week
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  • 2
    MicroGP

    MicroGP

    A multi-purpose extensible self-adaptive evolutionary algorithm

    MicroGP (µGP, ugp) is a versatile optimizer able to outperform both human experts and conventional heuristics in finding the optimal solution of hard problems. It is an evolutionary algorithm since it mimics some principles of the Neo-Darwinian paradigm. ⚠️ A new version is available on https://github.com/squillero/microgp4
    Downloads: 0 This Week
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  • 3
    pycrc

    pycrc

    CRC C source generator

    pycrc is an easy to use CRC (cyclic redundancy check) calculator and C source code generator. The generated source code can be optimized for simplicity, speed or space. pycrc contains a long parameter list of common CRC models. The program is self contained and does not require installation. Apart from a python installation, it does not require other libraries to be installed.
    Downloads: 0 This Week
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  • 4
    WM Hyperintensities Segmentation Toolbox

    WM Hyperintensities Segmentation Toolbox

    Open Source White Matter Hyperintensities Segmentation Toolbox

    ...They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer’s disease (AD) with regard to its prognosis. Our toolbox provides a self-sufficient set of tools for segmenting these WMHs reliably and further quantifying their burden for down-processing studies.
    Downloads: 0 This Week
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  • 5
    ACADO Toolkit

    ACADO Toolkit

    Toolkit for Automatic Control and Dynamic Optimization

    ...It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly MATLAB interface. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines.
    Downloads: 0 This Week
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  • 6
    LSGTL means LLX’s Static Graph Template Library which is a light-weighted header-only template library developed mainly for static graph analysis. LSGTL is expected to be used in laboratories for research purposes mostly.
    Downloads: 0 This Week
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  • 7
    Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.
    Downloads: 0 This Week
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