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3 represent » 3 represents (Expand Search), _ represent (Expand Search), d represent (Expand Search)
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Comparison of performance between our next reaction implementation and the Python library from Ref. [3].
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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A Python implementation of Gardner's model
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).
Published 2025“…<p>SCADET algorithm parameter configuration (Python implementation).</p>…”
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Python3 implementation of the correlation-based regression algorithm.
Published 2024“…<p>Python3 implementation of the correlation-based regression algorithm.…”
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Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool
Published 2024“…This script allows for the creation of a <b>Universal Python Module</b> that is optimized for <b>cross-platform compatibility</b> and supports multiple Python versions, from Python 3.6 onwards. …”
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Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education
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
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)
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." …”