Showing 5 open source projects for "network data speed"

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  • 1
    ransfoil

    ransfoil

    console to calculate airflow around an airfoil based on RANS approach

    ...In addition, the coupling between airflow and heat transfer and the effect of surface roughness on near wall flow are considered by this program, it can be used for engineering calculation of the friction drag and heat transfer coefficients on airfoil surface. RANSFOIL reads coordinates data from a 1D XYZ file which describes the grid points or control points on airfoil as only input, then outputs grid and solution files in 2D PLOT3D format to record grid coordinates and airflow data and a report file to show aerodynamic parameters.
    Downloads: 3 This Week
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  • 2
    Feed-forward neural network for python
    ffnet is a fast and easy-to-use feed-forward neural network training solution for python. Many nice features are implemented: arbitrary network connectivity, automatic data normalization, very efficient training tools, network export to fortran code. Now ffnet has also a GUI called ffnetui.
    Downloads: 2 This Week
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  • 3

    Inline fortran functions

    Fortran emulation of Matlab inline functions

    This is a set Fortran 2003 modules that allows to call "formula" objects that resemble the Matlab inline functions (also called "anonymous" or "lambda" functions in other languages). User can give a formula in a string and evaluate it through an eval procedure. The implementations take advantage of the Fortran 2003 procedure pointers to speed up the formula evaluation. These modules also permit to define "expressions". A expression is an uniform way to work with several data types: constants, interpolation tables, formulas and precompiled functions. Finally, it is possible to work with "referenced expressions", that is, arrays of expressions associated to reference numbers.
    Downloads: 1 This Week
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  • 4
    BMDExpress is a bioinformatics tool used to analyze microarray dose-response data. The analysis provides benchmark dose estimates at which different cellular processes are altered in toxicogenomic experiments.
    Downloads: 1 This Week
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  • 5
    The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
    Downloads: 0 This Week
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