يعرض 121 - 140 نتائج من 270 نتيجة بحث عن '(( python based implementation ) OR ( python model implementation ))', وقت الاستعلام: 0.31s تنقيح النتائج
  1. 121

    CSMILES: A Compact, Human-Readable SMILES Extension for Conformations حسب James W. Furness (22319738)

    منشور في 2025
    "…A two-way conversion from three-dimensional (3D) structure to CSMILES has been implemented, and the article is accompanied by a Python code which effectuates such conversions. …"
  2. 122

    Supplementary file 1_ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models.docx حسب Piyachat Udomwong (22563212)

    منشور في 2025
    "…Its efficiency and scalability make it well-suited for early-stage antibody discovery, repertoire profiling, and therapeutic design, particularly in the absence of structural data. The implementation is freely available at https://github.com/PiyachatU/ParaDeep, with Python (PyTorch) code and a Google Colab interface for ease of use.…"
  3. 123

    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
    "…<h2>A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation</h2><p><br></p><p dir="ltr">This is the implementation for the paper "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation".…"
  4. 124

    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
    "…<h2>A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation</h2><p><br></p><p dir="ltr">This is the implementation for the paper "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation".…"
  5. 125
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  7. 127

    Number of tweets collected over time. حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
  8. 128

    Descriptive measures of the dataset. حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
  9. 129

    Corpora from the articles in order of size. حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
  10. 130

    Media information. حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
  11. 131

    Information from interactions. حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
  12. 132

    Table of the database statistical measures. حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
  13. 133

    Tweets information. حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
  14. 134

    Examples of tweets texts (Portuguese). حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
  15. 135

    Methodological flowchart. حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
  16. 136

    Number of tweets collected per query and type. حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
  17. 137

    Examples of tweets texts (English). حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
  18. 138

    Users information. حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
  19. 139

    The Improved Hydro-Sediment Numerical Model and Machine Learning Models حسب Yuning Tan (20580932)

    منشور في 2025
    "…The hydro-sediment model was implemented in the C# programming language using Visual Studio, while the machine learning models were developed in Python.…"
  20. 140

    Methodological Approach Based on Structural Parameters, Vibrational Frequencies, and MMFF94 Bond Charge Increments for Platinum-Based Compounds حسب Gloria Castañeda-Valencia (20758502)

    منشور في 2025
    "…The developed bci optimization tool, based on MMFF94, was implemented using a Python code made available at https://github.com/molmodcs/bci_solver. …"