بدائل البحث:
pre implementation » time implementation (توسيع البحث), _ implementation (توسيع البحث), pre implantation (توسيع البحث)
code » core (توسيع البحث)
pre implementation » time implementation (توسيع البحث), _ implementation (توسيع البحث), pre implantation (توسيع البحث)
code » core (توسيع البحث)
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Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python)
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.…"
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127
PyRates—A Python framework for rate-based neural simulations
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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Different estimator’s average best validation performance for the class balancing pipeline.
منشور في 2021الموضوعات: -
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PySHS: Python Open Source Software for Second Harmonic Scattering
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. …"
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Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide
منشور في 2022"…TensorFlow is a Python-based open-source package designed for machine learning algorithms. …"
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Numerical data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability"
منشور في 2025"…<p dir="ltr">This data set contains the data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability". …"
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Table_2_XCast: A python climate forecasting toolkit.docx
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. …"
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Table_1_XCast: A python climate forecasting toolkit.docx
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. …"
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139
Table_2_XCast: A python climate forecasting toolkit.docx
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. …"
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140
Table_1_XCast: A python climate forecasting toolkit.docx
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. …"