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Showing 81 - 100 results of 1,050 for search '(( ((python model) OR (python tool)) implementation ) OR ( python code predicted ))', query time: 0.30s Refine Results
  1. 81
    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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  2. 82
    Implementations benchmark.

    Implementations benchmark. by Serena Aneli (17002149)

    Published 2023
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  3. 83
    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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  4. 84
    Sample Python code for extracting age from patterns with a unit of time.

    Sample Python code for extracting age from patterns with a unit of time. by Ari Z. Klein (5462888)

    Published 2022
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  5. 85
    Core python codes for the machine-learning & deep learning model.

    Core python codes for the machine-learning & deep learning model. by Archana Prabahar (21030164)

    Published 2025
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  6. 86
    The three-step workflow for generating biomass objective functions from experimental data with BOFdat.

    The three-step workflow for generating biomass objective functions from experimental data with BOFdat. by Jean-Christophe Lachance (6619307)

    Published 2019
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  7. 87
    BOFdat Step 3: Identifying species-specific metabolic end goals.

    BOFdat Step 3: Identifying species-specific metabolic end goals. by Jean-Christophe Lachance (6619307)

    Published 2019
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  8. 88
    Runtime comparison using our API vs published/standard Python implementations.

    Runtime comparison using our API vs published/standard Python implementations. by Lu Bin Liu (14279482)

    Published 2022
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  9. 89
    Re-Implementation of Refactory Tool

    Re-Implementation of Refactory Tool by Aqsa Shabbir (18604261)

    Published 2024
    “…The file `requirements.txt` lists the python packages, along with their specific version number, required by the tool.…”
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  10. 90
    Python code for Model 1 used to predict FAZ length from B-scan OCT images.

    Python code for Model 1 used to predict FAZ length from B-scan OCT images. by Taku Toyama (102864)

    Published 2024
    “…<p>Python code for Model 1 used to predict FAZ length from B-scan OCT images.…”
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  11. 91
    The Python source code for a random forest model

    The Python source code for a random forest model by Hao Yansong (17413653)

    Published 2023
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  12. 92
    Datasets (systems and benchmarks) used in the selected studies to train RNN models.

    Datasets (systems and benchmarks) used in the selected studies to train RNN models. by Fahmi H. Quradaa (17896527)

    Published 2024
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  13. 93
    Low- and high-level subspace noise for the reverse-correlation of visual and audio stimuli.

    Low- and high-level subspace noise for the reverse-correlation of visual and audio stimuli. by Juan José Burred (6555578)

    Published 2019
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  14. 94
    a)Growth rate, b) peak percentage prevalence, c) cumulative percentage prevalence, d) percentage of households with at least one case during the simulation period as a function of percentage reduction in between-household transmission rates and percentage reduction in within-household transmission rates.

    a)Growth rate, b) peak percentage prevalence, c) cumulative percentage prevalence, d) percentage of households with at least one case during the simulation period as a function of... by Joe Hilton (7003265)

    Published 2022
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  15. 95
    Peak and b) cumulative prevalence among the clinically vulnerable population as a percentage of the baseline values when (OOHI) is not implemented, and c) peak and d) cumulative proportion of less clinically vulnerable adults who enter isolation during the simulation period as a function of detection rate of infectious cases and probability that a detected individual enters isolation.

    Peak and b) cumulative prevalence among the clinically vulnerable population as a percentage of the baseline values when (OOHI) is not implemented, and c) peak and d) cumulative pr... by Joe Hilton (7003265)

    Published 2022
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  16. 96
    a)Growth rate, b) peak percentage prevalence, c) cumulative percentage prevalence, d) percentage of households with at least one case during the simulation period as a function of percentage reduction in between-household transmission rates and uptake of support bubbles among eligible households.

    a)Growth rate, b) peak percentage prevalence, c) cumulative percentage prevalence, d) percentage of households with at least one case during the simulation period as a function of... by Joe Hilton (7003265)

    Published 2022
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  17. 97
    Expected secondary attack ratios by size.

    Expected secondary attack ratios by size. by Joe Hilton (7003265)

    Published 2022
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  18. 98
    Fig 5 -

    Fig 5 - by Joe Hilton (7003265)

    Published 2022
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  19. 99
    Estimated age cohort populations and numbers shielding from ONS data [52, 54], estimated age distribution of shielding population, and proportion of each age group shielding.

    Estimated age cohort populations and numbers shielding from ONS data [52, 54], estimated age distribution of shielding population, and proportion of each age group shielding. by Joe Hilton (7003265)

    Published 2022
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  20. 100
    Fig 6 -

    Fig 6 - by Joe Hilton (7003265)

    Published 2022
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