يعرض 121 - 140 نتائج من 622 نتيجة بحث عن '(( ((python code) OR (python tool)) implementing ) OR ( python pre implementation ))*', وقت الاستعلام: 0.24s تنقيح النتائج
  1. 121

    Information of the tested GPU platforms. حسب Xuzhen He (14676114)

    منشور في 2023
    الموضوعات:
  2. 122
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    S1 Data - حسب Xuzhen He (14676114)

    منشور في 2023
    الموضوعات:
  4. 124
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    Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python) حسب Robert Zomer (12796235)

    منشور في 2025
    "…<p dir="ltr">The custom code in Python programming language used to develop the <b>Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v3.…"
  7. 127

    PyRates—A Python framework for rate-based neural simulations حسب Richard Gast (8129451)

    منشور في 2019
    "…A basic requirement for computational modeling studies is the availability of efficient software for setting up models and performing numerical simulations. While many such tools exist for different families of neural models, there is a lack of tools allowing for both a generic model definition and efficiently parallelized simulations. …"
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    Class architecture. حسب Ramona Leenings (11167294)

    منشور في 2021
    الموضوعات:
  10. 130

    Parallel pipeline elements. حسب Ramona Leenings (11167294)

    منشور في 2021
    الموضوعات:
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    PySHS: Python Open Source Software for Second Harmonic Scattering حسب Lotfi Boudjema (4177942)

    منشور في 2020
    "…The PySHS package is a new python open source software tool which simulates the second harmonic scattering (SHS) of different kinds of colloidal nano-objects in various experimental configurations. …"
  15. 135

    Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide حسب Rishika Mohanta (7327013)

    منشور في 2022
    "…TensorFlow is a Python-based open-source package designed for machine learning algorithms. …"
  16. 136

    Numerical data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability" حسب Tian-Ren Jin (18781930)

    منشور في 2025
    "…<p dir="ltr">This data set contains the data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability". …"
  17. 137

    Table_2_XCast: A python climate forecasting toolkit.docx حسب Kyle Joseph Chen Hall (13049001)

    منشور في 2022
    "…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …"
  18. 138

    Table_1_XCast: A python climate forecasting toolkit.docx حسب Kyle Joseph Chen Hall (13049001)

    منشور في 2022
    "…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …"
  19. 139

    Table_2_XCast: A python climate forecasting toolkit.docx حسب Kyle Joseph Chen Hall (13049001)

    منشور في 2022
    "…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …"
  20. 140

    Table_1_XCast: A python climate forecasting toolkit.docx حسب Kyle Joseph Chen Hall (13049001)

    منشور في 2022
    "…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …"