Showing 7 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: 2 This Week
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  • 2
    chemfiles

    chemfiles

    Modern library for chemistry file reading and writing

    Chemfiles is a modern and high-quality library for reading and writing trajectory files created by computational chemistry simulations program. These trajectories contains atomic positions, velocities, names, topology and sometimes more. Running simulations produce enormous amounts of data, which has to be post-processed to extract physical information about the simulated system. Chemfiles provides an interface to access this information which is - unified: the same code will work with...
    Downloads: 0 This Week
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  • 3
    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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  • 4
    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) · 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: 1 This Week
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    Demo Series - Small Business Backup By Veeam

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  • 5
    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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  • 6
    Laser Control Utility

    Laser Control Utility

    RS232 based Nd:YAG laser control and automation interface

    The Laser Control Utility was developed to easily handle TTL communication between any instrumentation and the Continuum Surelight laser series. This is achieved by monitoring a TTL signal via the computer LTP1 port, whose signal is transmitted via RS232 to the laser unit, also used to control basic laser parameters, like pulse divider (laser frequency) and Q-Switch. The Shutter modulation feature allows the user to use the TTL signal to open the laser shutter on demand, controlling the...
    Downloads: 1 This Week
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  • 7
    Tools to build molecular-docking activity prediction models by PLS regression with iterative training and pose-selection. Descriptors include (i) docking score(s), (ii) pharmacophore features, (iii) multi-feature descriptors learned by decision trees.
    Downloads: 0 This Week
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