Search Results for "no coding technology programming"

Showing 5 open source projects for "no coding technology programming"

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  • 1
    High-performance package for SemiDefinite Programs The software SDPA (SemiDefinite Programming Algorithm) is one of the most efficient and stable software packages for solving SDPs based on the primal-dual interior-point method.
    Downloads: 14 This Week
    Last Update:
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  • 2
    Armadillo

    Armadillo

    fast C++ library for linear algebra & scientific computing

    * Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:...
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    Downloads: 3,223 This Week
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  • 3
    FEATool Multiphysics - FEA Toolbox

    FEATool Multiphysics - FEA Toolbox

    FEATool Multiphysics is an easy to use FEA and CFD Simulation Toolbox

    FEATool Multiphysics (https://www.featool.com) is a fully integrated, flexible and easy to use physics and Finite Element Analysis (FEA) simulation toolbox. Developed with ease of use in mind, everyone is able to set up and perform complex multiphysics simulations in a simple GUI without learning coding, programming, or scripting. In addition to built-in FEM and PDE solvers, FEATool features full integration with the high performance SU2, OpenFOAM, and FEniCS physics solvers, functioning as an easy-to-use GUI for OpenFOAM (https://www.featool.com/Easy-to-Use-OpenFOAM-GUI). With built-in CAD and pre-processing, automatic mesh generation, solvers, and postprocessing, FEATool enables large scale dynamical models and physics simulations to be set up and solved easily and quickly directly in the integrated MATLAB GUI. ...
    Downloads: 2 This Week
    Last Update:
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  • 4
    Stanford Machine Learning Course

    Stanford Machine Learning Course

    machine learning course programming exercise

    ...The exercises serve as practical, hands-on reinforcement of theoretical concepts taught in the course. This collection is valuable for students and practitioners who want to strengthen their skills in machine learning through coding exercises.
    Downloads: 2 This Week
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  • 5
    An open source,platform independent,technical web programming language using MATLAB in background, that supports 3-Tier Architecture (Web-Business-DB) including Distributed Computing and Parallel Processing via remote procedure calls and web services.
    Downloads: 0 This Week
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