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    A Python implementation of Gardner's model by Quentin Brissaud (12461415)

    Published 2022
    “…<p>A Python implementation of Gardner's model to generate atmospheric gravity-wave perturbations</p>…”
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    SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

    Published 2025
    “…<p>SCADET algorithm parameter configuration (Python implementation).</p>…”
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    Python3 implementation of the correlation-based regression algorithm. by Sebastian J. Kopetzky (6059033)

    Published 2024
    “…<p>Python3 implementation of the correlation-based regression algorithm.…”
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    Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education by Suha Assayed (22454038)

    Published 2025
    “…<p dir="ltr">This repository contains the Python source code and model implementation for HSGAdviser, an AI speech assistant designed to provide personalized college and career guidance for high school students through conversational AI. …”
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    Python implementation from Symplectic decomposition from submatrix determinants by Jason L. Pereira (11598632)

    Published 2021
    “…Python implementation of the algorithm and demonstration of how to use the functions.…”
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    Python implementation of the geometric minimum action method (gMAM) by Pascal Wang (10130612)

    Published 2021
    “…<p>The Python 3 script <code>gmam_demo.py</code> found in this repository implements the geometric minimum action method (gMAM) as presented in Heymann, M. and Vanden-Eijnden, E. (2008), "The geometric minimum action method: A least action principleon the space of curves." …”
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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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    Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. by Samuel Cure (22250922)

    Published 2025
    “…<p>We simulate SIR epidemic processes on Watts-Strogatz networks with parameters <i>k</i><sub>0</sub> = 5, <i>p</i> = 0.1 <b>(a)</b> and Barabási-Albert networks with parameter <i>m</i> = 5 <b>(b)</b> using the Python wrapper of our C++ implementation and compare its performance with the Python library from Ref. …”
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    Comprehensive Analysis of Key Probability Distributions in Data Science: Applications, Mathematical Formulations, and Python Implementation by Rasikh Tariq (17117866)

    Published 2024
    “…Comprehensive Analysis of Key Probability Distributions in Data Science: Applications, Mathematical Formulations, and Python Implementation. Open Educational Resource for the Data Analytics and Artificial Intelligence II course. …”
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