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Showing 21 - 40 results of 1,033 for search '(( ((python code) OR (python tool)) implementation ) OR ( python model presented ))', query time: 0.46s Refine Results
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    Invert4Geom; Progress towards an open-source geometric gravity inversion with stochastic uncertainty analysis by Matt Tankersley (11769215)

    Published 2024
    “…Here, we present a preliminary inversion algorithm written in Python to perform these geometric style of gravity inversions. …”
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    NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology by Nathan Braniff (14149834)

    Published 2022
    “…To support OED investigations, the NLoed package implements maximum likelihood fitting and diagnostic tools, providing a comprehensive modeling workflow. …”
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    Table_2_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

    Published 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. …”
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    Table_1_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

    Published 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. …”
  7. 27

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

    Published 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. …”
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    Table_1_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

    Published 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. …”
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    PySHS: Python Open Source Software for Second Harmonic Scattering by Lotfi Boudjema (4177942)

    Published 2020
    “…This package is able to compute polarizations resolved at a fixed scattered angle or angular distribution for different polarization configurations. This article presents the model implemented in the PySHS software and gives some computational examples. …”
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    Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide by Rishika Mohanta (7327013)

    Published 2022
    “…In this article and the accompanying tutorials, we present a simple exposition of numerical methods to solve ordinary differential equations using Python and TensorFlow. …”
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    OPTIMIZED DETERMINATION OF 3D COORDINATES IN THE SURVEY OF INACCESSIBLE POINTS OF BUILDINGS - EXAMPLE OF APPLICATION IMPLEMENTED IN FREE SOFTWARE by Leandro Luiz Silva de França (6625883)

    Published 2022
    “…For the analysis of the method, a Python tool was developed for QGIS that calculates the 3D coordinates and generates the adjustment processing report, being applied with real observations of the Geodetic survey of the SUDENE building, in Recife-PE. …”
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