يعرض 1 - 20 نتائج من 461 نتيجة بحث عن '(( python modular implementation ) OR ( python tool presents ))', وقت الاستعلام: 0.23s تنقيح النتائج
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    NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology حسب Nathan Braniff (14149834)

    منشور في 2022
    "…NLoed offers an accessible, modular, and flexible OED tool set suited to the wide variety of experimental scenarios encountered in systems biology research. …"
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    Presentation1_NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing.pdf حسب Jinqi Huang (12433320)

    منشور في 2022
    "…In this study, we present NeuroPack, a modular, algorithm-level Python-based simulation platform that can support studies of memristor neuro-inspired architectures for performing online learning or offline classification. …"
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    Poster: PyGMT: Accessing the Generic Mapping Tools from Python حسب Leonardo Uieda (97471)

    منشور في 2019
    "…<p>Poster presented at the AGU 2019 Fall Meeting.</p><h2>Abstract</h2> <p>For almost 30 years, the Generic Mapping Tools (GMT) have provided the Earth, Ocean, and Planetary Sciences with an open-source toolbox for processing and visualizing spatial data (bathymetry, gravity, magnetic, earthquake focal mechanisms, and more). …"
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    Shoreline Prediction ArcPy Tool حسب Stephen Escarzaga (7879877)

    منشور في 2019
    "…The goals were to make this model interactive an environment (ArcGIS) where shoreline change analysis are already being conducted to facilitate ease of use and standardization within a researcher’s ROI. The included tool was written in Python with ArcPy commands that allow it to use the ArcGIS infrastructure. …"
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    DataSheet1_NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing.ZIP حسب Jinqi Huang (12433320)

    منشور في 2022
    "…In this study, we present NeuroPack, a modular, algorithm-level Python-based simulation platform that can support studies of memristor neuro-inspired architectures for performing online learning or offline classification. …"
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