Showing 4 open source projects for "types"

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  • 1
    Neural Networks Collection

    Neural Networks Collection

    Neural Networks Collection

    This project implements in C++ a bunch of known Neural Networks. So far the project implements: LVQ in several variants, SOM in several variants, Hopfield network and Perceptron. Other neural network types are planned, but not implemented yet. The project can run in two modes: command line tool and Python 7.2 extension. Currently, Python version appears more functional, as it allows easy interaction with algorithms developed by other people.
    Downloads: 0 This Week
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  • 2
    progrep

    progrep

    Utility to show live progress, status & stats for running simulations

    progrep is a command-line tool (Linux) to show live progress report, status & stats of a running simulation or compute job that executes a given number of iterations. It shows % completed, time remaining, time elapsed, number of threads, MPI_Rank(if any), CPU usage & speed (FPS). The FPS measures may be used in benchmarking, e.g. while optimizing HPC algorithms for performance. progrep supports both single-threaded and parallel (multicore/multinode - e.g. OpenMP/MPI) jobs. progrep can...
    Downloads: 0 This Week
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  • 3
    FractalNow

    FractalNow

    Fast, advanced, multi-platform fractal generator

    FractalNow provides users with tools to generate pictures of various types of fractals quickly and easily. It is made of both a command line tool, FractalNow, and a graphical tool, QFractalNow. The graphical tool, based on Qt library, allows users to explore fractals intuitively and generate pictures. Both tools are entirely multi-threaded and implement advanced algorithms and heuristics that make computation very fast compared to most existing free fractal generators.
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    Downloads: 47 This Week
    Last Update:
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  • 4

    analyzematrix

    Command line tool for reporting details on a given matrix

    analyzematrix is a command line tool for learning detailed information about a matrix including its inverse, determinant, eigenvalues, eigenvectors, and singular value decomposition.
    Downloads: 0 This Week
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