Showing 4 open source projects for "python feature selection"

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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: 12 This Week
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  • 2
    nmr-nessy

    nmr-nessy

    NMR relaxation dispersion spectroscopy analysis software

    NESSY is an open source software to analyse NMR relaxation dispersion data of either CPMG or R1p (R1rho) dispersion experiments. The graphical interface enables simple management of large experimental data sets and simple and automated analysis. NESSY automatically calculates effective transverse relaxation rate (R2eff) and performs model selection between different relaxation dispersion models.
    Downloads: 0 This Week
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  • 3
    Bika Open Source LIMS

    Bika Open Source LIMS

    Web based Open Source laboratory information management system (LIMS)

    Modern Open Source LIMS (Laboratory Information Management System) ยท Professionally supported by experts The Bika code was migrated to https://github.com/bikalims Getting Started: https://github.com/bikalims/bika.lims/blob/main/README.md Modern Bika releases are built on the Senaite LIMS core, the LIMS that originated as a Bika fork. It is therefore as new and modern as Senaite, frequently upgraded and has many very useful add-ons. Bika expands on Senaite's lean design by adding...
    Downloads: 0 This Week
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  • 4
    ParaSim

    ParaSim

    Parallelized calculation of molecular similarities

    Diversity assessments and comparisons of large compound databases require calculating similarities of millions of compounds in an affordable time. ParaSim addresses this challenge by parallelizing the calculations according to the number of computing cores available on a single machine. It is optimized for the throughput of very large numbers of query structures against very large numbers of reference structures. As as special feature, ParaSim allows to store and and to access frequently...
    Downloads: 0 This Week
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