Showing 41 - 60 results of 362 for search '(( python ((code implementation) OR (model implementation)) ) OR ( python code representing ))', query time: 0.43s Refine Results
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    PTPC-UHT bounce by David Parry (22169299)

    Published 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. …”
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    Exploring the integration of metaverse technologies in engineering education through the SAMR model by Snezhana Dineva (22444471)

    Published 2025
    “…The final deliverable is a plan for phased integration of metaverse learning into a Python programming course following this model, building on existing best practices.…”
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    2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures by Nektarios Valous (20715650)

    Published 2025
    “…The output files generated by the code include results from both Python and MATLAB implementations; these output images are provided as validation, demonstrating that both implementations produce matching results.…”
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    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

    Published 2025
    “…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”
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    Code interpreter with LLM. by Jin Lu (428513)

    Published 2025
    “…Additionally, the integration of an LLM Code Interpreter enables the system to perform multi-step logical reasoning and execute Python code for precise calculations, significantly improving its ability to solve mathematical problems and handle complex queries. …”
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    ZILLNB_Model by Qinhuan Luo (21288548)

    Published 2025
    “…<p dir="ltr">Acquire latent variables using deep-learning based model implemented in python</p>…”
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    Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

    Published 2024
    “…To address these issues, we developed a generic platform (called Neuroptimus) that allows users to set up neural parameter optimization tasks via a graphical interface, and to solve these tasks using a wide selection of state-of-the-art parameter search methods implemented by five different Python packages. Neuroptimus also offers several features to support more advanced usage, including the ability to run most algorithms in parallel, which allows it to take advantage of high-performance computing architectures. …”
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    Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

    Published 2025
    “…The detailed implementation, source code and demo dataset are included in dedicated folders for each chapter.…”