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Showing 1 - 20 results of 1,312 for search '(( python model predictive ) OR ( python model implementing ))', query time: 0.45s Refine Results
  1. 1
    Models.

    Models. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  2. 2
    Modelling COVID-19 evolution and control in Portugal: Code and data from 2 of March to 19 August 2020.

    Modelling COVID-19 evolution and control in Portugal: Code and data from 2 of March to 19 August 2020. by Ricardo Jorge Pais (3627494)

    Published 2020
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  3. 3
    Numbers of predictions.

    Numbers of predictions. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  4. 4
    Prediction overlap with experimental data.

    Prediction overlap with experimental data. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  5. 5
    Python script of the PREDICATE tool written in a Jupyter Notebook format.

    Python script of the PREDICATE tool written in a Jupyter Notebook format. by Nantia Leonidou (14833068)

    Published 2023
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  6. 6
    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  7. 7
    python3 software to reproduce Figs 6, 7 and 8.

    python3 software to reproduce Figs 6, 7 and 8. by Stéphane Plaszczynski (14992817)

    Published 2023
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  8. 8
    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  9. 9
    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling

    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

    Published 2019
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  10. 10
    Predictions at the A) <i>invected</i> and B) <i>vestigial</i> loci.

    Predictions at the A) <i>invected</i> and B) <i>vestigial</i> loci. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  11. 11
    3D modeling qualities of the AS single-template models built with optimal HDDRs and alignments.

    3D modeling qualities of the AS single-template models built with optimal HDDRs and alignments. by Giacomo Janson (8138517)

    Published 2019
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  12. 12
    3D modeling qualities of the AM multiple-template models built with optimal HDDRs and alignments.

    3D modeling qualities of the AM multiple-template models built with optimal HDDRs and alignments. by Giacomo Janson (8138517)

    Published 2019
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  13. 13
    FWC python implementation

    FWC python implementation by Roland Mühlenbernd (11755871)

    Published 2021
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  14. 14
    A Python implementation of Gardner's model

    A Python implementation of Gardner's model by Quentin Brissaud (12461415)

    Published 2022
    “…<p>A Python implementation of Gardner's model to generate atmospheric gravity-wave perturbations</p>…”
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  15. 15
    ElectroPredictor: An Application to Predict Mayr’s Electrophilicity <i>E</i> through Implementation of an Ensemble Model Based on Machine Learning Algorithms

    ElectroPredictor: An Application to Predict Mayr’s Electrophilicity <i>E</i> through Implementation of an Ensemble Model Based on Machine Learning Algorithms by Sebastián A. Cuesta (12048044)

    Published 2023
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  16. 16
    ProSmith model overview.

    ProSmith model overview. by Alexander Kroll (9304225)

    Published 2024
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  17. 17
    Modeling with uniform <i>σ</i> values.

    Modeling with uniform <i>σ</i> values. by Giacomo Janson (8138517)

    Published 2019
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  18. 18
    NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology

    NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology by Nathan Braniff (14149834)

    Published 2022
    “…Modeling in systems and synthetic biology relies on accurate parameter estimates and predictions. …”
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  19. 19
    Hyperparameters of the ProSmith gradient boosting models.

    Hyperparameters of the ProSmith gradient boosting models. by Alexander Kroll (9304225)

    Published 2024
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  20. 20
    Multiprocessing and GPU application of SVMs significantly reduces run-times.

    Multiprocessing and GPU application of SVMs significantly reduces run-times. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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