Showing 7 open source projects for "data modeling"

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  • 1
    PoseidonQ  - AI/ML Based QSAR Modeling

    PoseidonQ - AI/ML Based QSAR Modeling

    ML based QSAR Modelling And Translation of Model to Deployable WebApps

    - This Software was made with an intention to make QSAR/QSPR development more efficient and reproducible. - Published in ACS, Journal of Chemical Information and Modeling . Link : https://pubs.acs.org/doi/10.1021/acs.jcim.4c02372 - Simple to use and no compromise on essential features necessary to make reliable QSAR models. - From Generating Reliable ML Based QSAR Models to Developing Your Own QSAR WebApp. For any feedback or queries, contact kabeermuzammil614@gmail.com - Available on...
    Downloads: 18 This Week
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  • 2
    Avogadro

    Avogadro

    An intuitive molecular editor and visualization tool

    Avogadro is an advanced molecular editor designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science and related areas. It offers a flexible rendering framework and a powerful plugin architecture.
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    Downloads: 789 This Week
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  • 3
    GenX

    GenX

    X-Ray and Neutron Reflectivity Modeling

    GenX is a scientific program to refine x-ray refelcetivity, neutron reflectivity and surface x-ray diffraction data using the differential evolution algorithm. GenX is very modular and highly extensible and can be used as a general fitting program.
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    Downloads: 56 This Week
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  • 4
    GNNPCSAFT

    GNNPCSAFT

    Smart Thermodynamic Modeling with Graph Neural Networks

    The GNNPCSAFT app is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. To install the GNNPCSAFT app, download the...
    Downloads: 0 This Week
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  • 5
    GNNPCSAFT Web App

    GNNPCSAFT Web App

    Smart Thermodynamic Modeling with Graph Neural Networks

    The GNNPCSAFT Web App is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. More info on github repository.
    Downloads: 0 This Week
    Last Update:
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  • 6

    PLASMAKIN: a chemical kinetics package

    A library to compute the electron and chemical kinetics on plasmas

    PLASMAKIN is a package to handle physical and chemical data used in plasma physics modeling and to compute gas-phase and gas-surface kinetics data: particle production and loss rates, photon emission spectra and energy exchange rates.
    Downloads: 0 This Week
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  • 7
    ABE is a small, fast and convenient program for visualizing and modeling experimental bioassay data. The data can be modeled using either polynomials or a more specific four-parameter model based upon the standard, sigmoidal dose-response curve.
    Downloads: 0 This Week
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