Showing 81 - 100 results of 898 for search '(( ((python tool) OR (python code)) implementing ) OR ( python models represented ))', query time: 0.29s Refine Results
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    Re-Implementation of Refactory_GPT_Models Tool by Aqsa Shabbir (18604261)

    Published 2024
    “…The file `requirements.txt` lists the python packages, along with their specific version number, required by the tool.…”
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    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

    Published 2021
    “…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”
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    Invert4Geom; Progress towards an open-source geometric gravity inversion with stochastic uncertainty analysis by Matt Tankersley (11769215)

    Published 2024
    “…Here, we present a preliminary inversion algorithm written in Python to perform these geometric style of gravity inversions. …”
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    finalimplementation.py by Shahid Iqbal (13129134)

    Published 2022
    “…<p>Python code file for implementation of ML models</p>…”
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    Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

    Published 2024
    “…In recent years, manual model tuning has been gradually replaced by automated parameter search using a variety of different tools and methods. …”
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    A high-performance and highly reusable fast multipole method library and its application to solvation energy calculations at virus-scale by Tingyu Wang (12342757)

    Published 2022
    “…It empowers researchers to compute solvation energy at the scale of viruses interactively via easy-to-use Python interfaces. The 1/N convergence rate observed in mesh-refinement studies confirms code correctness, and result comparison with other trusted PB software shows agreement using a wide range of proteins.Performance results report timings and breakdowns with between 8,000 and 2 million boundary elements and confirm the linear complexity in both time and space. …”