Showing 3 open source projects for "machine learning regression"

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  • 1
    Symbolics.jl

    Symbolics.jl

    Symbolic programming for the next generation of numerical software

    ...It enables users to define, manipulate, and analyze mathematical expressions symbolically, with strong support for symbolic differentiation, simplification, equation solving, and code generation. Designed for use in scientific computing, machine learning, and engineering, Symbolics.jl integrates smoothly with Julia’s numerical ecosystem, allowing symbolic expressions to be compiled and optimized for high-speed evaluation.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Dagger.jl

    Dagger.jl

    A framework for out-of-core and parallel execution

    ...Dagger supports lazy evaluation and scheduling across multiple threads or machines, enabling high-performance workflows for data processing, scientific computing, and machine learning.
    Downloads: 0 This Week
    Last Update:
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  • 3
    FEATool Multiphysics - FEA & CFD Toolbox

    FEATool Multiphysics - FEA & CFD Toolbox

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

    ...In addition to built-in CAD and pre/post-processing, automatic mesh generation, and multi-physics solvers, FEATool also seamlessly integrates the state-of-the-art OpenFOAM [1], SU2, and FEniCS CFD and FEA solvers. Moreover, native itegration with MATLAB and Python allows advanced simulation scripts and programmatic use cases such as in AI and machine learning [2]. [1]: https://www.featool.com/Easy-to-Use-OpenFOAM-GUI/ [2]: https://featool.com/model-showcase/2024-11-12-CFD-and-Flow-Prediction-Based-on-Deep-Learning...
    Downloads: 6 This Week
    Last Update:
    See Project
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