Showing 121 - 140 results of 322 for search '(( ((python model) OR (python code)) implementation ) OR ( python practical applications ))', query time: 0.38s Refine Results
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    The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" by FirstName LastName (20554465)

    Published 2025
    “…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…”
  15. 135

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

    Published 2025
    “…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…”
  16. 136

    Expanding Access to Advanced Scientific Workflows: The NSF Unidata Science Gateway Leverages Innovative Capabilities of the NSF Jetstream2 Cloud for Atmospheric Science Education by Julien Chastang (640650)

    Published 2025
    “…</p><p><br></p><p dir="ltr">This presentation will highlight two case studies that demonstrate the practical applications of our advanced computational tools. …”
  17. 137

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

    Published 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. …”
  18. 138

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

    Published 2025
    “…<p>This file contains the code that implements both metrics in python and apply them on a simulated dataset.…”
  19. 139

    A free tutorial book from NSF Cybertraining C2D: Cybertraining for Chemical Data scientists by Xiangliang Zhang (19460047)

    Published 2025
    “…In Chapter 2, we guide chemists through setting up a Python environment tailored for data science applications in chemistry. …”
  20. 140

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

    Published 2025
    “…<div><p>We present Epydemix, an open-source Python package for the development and calibration of stochastic compartmental epidemic models. …”