يعرض 121 - 140 نتائج من 297 نتيجة بحث عن '(( python ((code implementation) OR (model implementation)) ) OR ( python tool implementing ))', وقت الاستعلام: 0.55s تنقيح النتائج
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    The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" حسب FirstName LastName (20554465)

    منشور في 2025
    "…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…"
  6. 126

    The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" حسب FirstName LastName (20554465)

    منشور في 2025
    "…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…"
  7. 127

    Testing Code for JcvPCA and JsvCRP. حسب Océane Dubois (21989812)

    منشور في 2025
    "…<p>This file contains the code that implements both metrics in python and apply them on a simulated dataset.…"
  8. 128

    Data and code for: Automatic fish scale analysis حسب Christian Vogelmann (21646472)

    منشور في 2025
    "…</p><h3>Includeed in this repository:</h3><ul><li><b>Raw data files:</b></li><li><code>comparison_all_scales.csv</code> – comparison_all_scales.csv - manually verified vs. automated measurements of 1095 coregonid scales</li></ul><ul><li><ul><li><code>Validation_data.csv</code> – manually measured scale data under binocular</li><li><code>Parameter_correction_numeric.csv</code> – calibration data (scale radius vs. fish length/weight)</li></ul></li><li><b>Statistical results:</b></li><li><ul><li><code>comparison_stats_core_variables.csv</code> – verification statistics (bias, relative error, limits of agreement)</li><li><code>Validation_statistics.csv</code> – summary statistics and model fits (manual vs. automated)</li></ul></li><li><b>Executable script (not GUI):</b></li><li><ul><li><code>Algorithm.py</code> – core processing module for scale feature extraction<br>→ <i>Note: The complete Coregon Analyzer application (incl. …"
  9. 129

    Workflow of a typical Epydemix run. حسب Nicolò Gozzi (8837522)

    منشور في 2025
    "…<div><p>We present Epydemix, an open-source Python package for the development and calibration of stochastic compartmental epidemic models. …"
  10. 130

    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... حسب Hector Torres (11708207)

    منشور في 2025
    "…<p><b>(a)</b> UMAP, t-SNE, PCA, and Diffmap were first generated using the Python libraries Scikit-learn, UMAP, and PyDiffmap within Jupyter to generate static graphs as a starting point. …"
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    Design and Implementation of a Browser-Based Toolfor Protecting Gaming Assets from UnauthorizedAccess حسب Alim Imashev (22606007)

    منشور في 2025
    "…<p dir="ltr">The project <b>“Design and Implementation of a Browser-Based Tool for Protecting Gaming Assets from Unauthorized Access”</b> focuses on developing a security-oriented software solution that safeguards digital game assets within browser environments.…"
  13. 133

    Data and some code used in the paper:<b>Expansion quantization network: A micro-emotion detection and annotation framework</b> حسب Zhou (20184816)

    منشور في 2025
    "…</p><p dir="ltr">2. 28pd.py: Micro-emotion detection and annotation code based on pytorch.</p><p dir="ltr">3. 55770-1.pth: Model trained on the Goemotions dataset based on the BERT model (emotion energy level intensity is a value between 0-1).…"
  14. 134

    PTPC-UHT bounce حسب David Parry (22169299)

    منشور في 2025
    "…<br>It contains the full Python implementation of the PTPC bounce model (<code>PTPC_UHT_bounce.py</code>) and representative outputs used to generate the figures in the paper. …"
  15. 135

    Comparison data 7 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

    منشور في 2024
    "…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
  16. 136

    Sample data for <i>Neolamprologus multifasciatus</i>. حسب Nicolai Kraus (19949667)

    منشور في 2024
    "…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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    Sample data for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

    منشور في 2024
    "…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
  18. 138

    Comparison data 3 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

    منشور في 2024
    "…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
  19. 139

    Sample data for <i>Telmatochromis temporalis</i>. حسب Nicolai Kraus (19949667)

    منشور في 2024
    "…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
  20. 140

    Comparison data 4 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

    منشور في 2024
    "…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"