Showing 5 open source projects for "python (scikit-learn)"

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  • 1
    FruitOS

    FruitOS

    A live Linux OS (Arch-based, GRUB) powered by a real fruit fly brain:

    FruitOS is a live Linux operating system (Arch-based, boots with GRUB) powered by a real fruit fly brain: 165,122 neurons you can watch, talk to and learn from. Boot it from a USB stick, no install needed, completely offline.
    Downloads: 4 This Week
    Last Update:
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  • 2
    FEATool Multiphysics - FEA & CFD Toolbox

    FEATool Multiphysics - FEA & CFD Toolbox

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

    ...With a very easy-to-use GUI, anyone is now able to quickly set up and perform large scale dynamical and complex engineering physics simulations, with coupled fluid flow, heat transfer, structural mechanics, chemical transport, and electromagnetics effects, without having to learn complex programming. 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]...
    4.8 out of 5 stars 4 Reviews
    Downloads: 14 This Week
    Last Update:
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  • 3
    LabRPS

    LabRPS

    Random phenomena generator

    This is an official mirror of LabRPS. Code and release files are primarily hosted on https://github.com/LabRPS/LabRPS and mirrored here LabRPS aims to be a tool for the numerical simulation of random phenomena such as stochastic wind velocity, seismic ground motion, sea surface ... etc. It can be in a wide range of uses around engineering, such as random vibration or vibration fatigue in mechanical engineering, buffeting analysis in bridge engineering.... LabRPS is mainly to assist...
    Downloads: 1 This Week
    Last Update:
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  • 4
    Autonomous Robot Simulator

    Autonomous Robot Simulator

    Physically-accurate robotics simulator written in Python

    ARS is a physically-accurate robotics simulator written in Python. It's main purpose is to help researchers with to develop mobile manipulators and, in general, any multi-body system. It is open-source, modular, easy to learn and use, and can be a valuable tool in the process of robot design, in the development of control and reasoning algorithms, as well as in teaching and educational activities.
    5.0 out of 5 stars 1 Review
    Downloads: 0 This Week
    Last Update:
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  • 5
    We experiment with Evolution of Artifical Neural Networks, combining the two fields of Evolutionary Computation and ANNs. Our methods are applied to a variety of interesting problems. To learn more, click on "Home Page", "Mail", or "Files".
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    Downloads: 54 This Week
    Last Update:
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