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Showing 1 - 20 results of 993 for search '(( python models predicted ) OR ( python effective implementation ))', query time: 0.29s Refine Results
  1. 1
    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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  2. 2
    Effects on 3D modeling of optimal <i>σ</i> values and DOPE.

    Effects on 3D modeling of optimal <i>σ</i> values and DOPE. by Giacomo Janson (8138517)

    Published 2019
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  3. 3
    Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling.

    Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling. by Giacomo Janson (8138517)

    Published 2019
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  4. 4
    Reproducing neural dynamics recorded from larval zebrafish subpallium.

    Reproducing neural dynamics recorded from larval zebrafish subpallium. by Lu Bin Liu (14279482)

    Published 2022
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  5. 5
    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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  6. 6
    Model for the maximal effective bandwidth of numerical models (lines = model prediction by Eq 12; symbols = measured maximal effective bandwidth; filled = f64; hollow = f32; black = CPU medium; red = CPU large; blue = GPU medium; magenta = GPU large).

    Model for the maximal effective bandwidth of numerical models (lines = model prediction by Eq 12; symbols = measured maximal effective bandwidth; filled = f64; hollow = f32; black... by Xuzhen He (14676114)

    Published 2023
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  7. 7
    Model for the effective bandwidth of element-wise operations (lines = model prediction by Eq 11; symbols = measured maximal effective bandwidth; filled symbols = matrix operations; hollow symbols = vector operations; circles = CPU; triangles = GPU; black = medium f64; red = medium f32; blue = large f64; magenta = large f32).

    Model for the effective bandwidth of element-wise operations (lines = model prediction by Eq 11; symbols = measured maximal effective bandwidth; filled symbols = matrix operations;... by Xuzhen He (14676114)

    Published 2023
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  8. 8
    Python Script for the QSAR Model Building.

    Python Script for the QSAR Model Building. by Md. Al-Amin (6270104)

    Published 2025
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  9. 9
    Predictions, observations and residuals of Monod model fitted to backscatter data.

    Predictions, observations and residuals of Monod model fitted to backscatter data. by Laura Marie Helleckes (12206910)

    Published 2022
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  10. 10
    Schematic showing how the tracking model uses the inputs to make predictions.

    Schematic showing how the tracking model uses the inputs to make predictions. by Owen M. O’Connor (11965460)

    Published 2022
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  11. 11
    Python code.

    Python code. by Iver Martinsen (14059479)

    Published 2022
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  12. 12
    Python code.

    Python code. by Kapil Newar (6533048)

    Published 2022
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  13. 13
    Python Libraries used in tutorials.

    Python Libraries used in tutorials. by Faye Orcales (12488403)

    Published 2024
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  14. 14
    Python code.

    Python code. by Ryo Iwasaki (14210016)

    Published 2022
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  15. 15
    Details on imputation methods in R or python.

    Details on imputation methods in R or python. by Elena Albu (15181070)

    Published 2025
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  16. 16
    Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf

    Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf by Chen Chen (6544)

    Published 2023
    “…Here, we introduce an application programming interface (API) that implements both BART and GP for estimating averaged treatment effect (ATE) and conditional averaged treatment (CATE) for the two-stage time-varying treatment strategies.…”
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  17. 17
    Python source code of the framework.

    Python source code of the framework. by Tomasz Gutowski (17200042)

    Published 2023
    “…<p>This supplementary file contains the complete Python source code for training the machine learning models to predict patient medication responses and for generating optimized medication schedules.…”
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  18. 18
    The versions and functions of the key Python function libraries used.

    The versions and functions of the key Python function libraries used. by Andong Chen (22367103)

    Published 2025
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  19. 19
    Python code for Model 2 used to predict FAZ area from FAZ length measurements.

    Python code for Model 2 used to predict FAZ area from FAZ length measurements. by Taku Toyama (102864)

    Published 2024
    “…<p>Python code for Model 2 used to predict FAZ area from FAZ length measurements.…”
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  20. 20
    Python sript.

    Python sript. by Kan Jia (6438599)

    Published 2025
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