يعرض 141 - 160 نتائج من 819 نتيجة بحث عن '(( python from implementing ) OR ( ((python tool) OR (python code)) implementation ))*', وقت الاستعلام: 0.97s تنقيح النتائج
  1. 141

    Presentation1_NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing.pdf حسب Jinqi Huang (12433320)

    منشور في 2022
    "…<p>Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. …"
  2. 142

    Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory حسب E. Grajales-González (6083633)

    منشور في 2020
    "…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …"
  3. 143

    Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory حسب E. Grajales-González (6083633)

    منشور في 2020
    "…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …"
  4. 144
  5. 145

    finalimplementation.py حسب Shahid Iqbal (13129134)

    منشور في 2022
    "…<p>Python code file for implementation of ML models</p>…"
  6. 146

    DataSheet1_NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing.ZIP حسب Jinqi Huang (12433320)

    منشور في 2022
    "…<p>Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. …"
  7. 147
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  9. 149

    Data_Sheet_1_Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs.pdf حسب Denis Alevi (11805765)

    منشور في 2022
    "…These advances, however, are often not available to researchers interested in simulating spiking neural networks, but lacking the technical knowledge to write the necessary low-level code. Writing low-level code is not necessary when using the popular Brian simulator, which provides a framework to generate efficient CPU code from high-level model definitions in Python. …"
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    CSSI Framework: An open source software ecosystem for plasma physics حسب Nicholas Murphy (8400300)

    منشور في 2020
    "…We will describe code development and community building activities from the first few months of our NSF CSSI award and plans for the next five years. …"
  13. 153

    Building a Federated Data Catalog with Client Implementations - Meeting Data Where It is حسب Mike Johnson (16616871)

    منشور في 2023
    "…</p> <p>This combination of a <strong>auto-refreshing</strong> catalog paired with <strong>multi language implementations</strong> (R and Python), allowed the catalog to grow its data holdings from 11 to over 2,000 data providers and share the catalog as JSON and parquet files from a <em>github.io</em> page. …"
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    Dialogue Propositional Content Replacement (DPCR) code حسب Jacopo Amidei (10511297)

    منشور في 2025
    "…<p dir="ltr">This resource consists of a Python notebook with code that was implemented for a research project that developed a novel method for testing the components of theories of (dialogue) coherence through utterance substitution. …"
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    The format of the electrode csv file حسب Joseph James Tharayil (21416715)

    منشور في 2025
    "…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"
  20. 160

    The format of the simulation reports حسب Joseph James Tharayil (21416715)

    منشور في 2025
    "…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"