code implementing the finite element method and finite difference method from Hybrid PDE-ODE Models for Efficient Simulation of Infection Spread in Epidemiology by Kristina Maier (20520371)

“…This dataset contains code implementing the finite element method based on Kaskade 7 (C++) and code implementing the finite difference method (Python) for the development of hybrid PDE-ODE models aimed at efficiently simulating infection spread in epidemiology. …”

FWC python implementation by Roland Mühlenbernd (11755871)

Implementation of the SAACS in python. by Pavel Škrabánek (6106427)

Python code for estimating parameters of an ALAAM model. by Alex Stivala (8356257)

Tools used in implementing the RNN models. by Fahmi H. Quradaa (17896527)

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Python code that implements the Hoshen Kopleman algorithm used to identify the clusters shown in Figs 9 and 10. by Leonardo Costa Ribeiro (10439243)

“…<p>Python code that implements the Hoshen Kopleman algorithm used to identify the clusters shown in Figs <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0285630#pone.0285630.g009" target="_blank">9</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0285630#pone.0285630.g010" target="_blank">10</a>.…”

Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management by Pavel Izosimov (20096259)

“…</p><h2>Key Features</h2><ul><li><b>Secure Code Sharing</b>: Utilize advanced <b>encryption</b> and <b>obfuscation</b> methods to <b>protect Python code</b> during transfer, enabling <b>secure code sharing</b> and <b>Python secure code transfer</b>.…”

Prediction overlap with experimental data. by Bjørn André Bredesen-Aa (13767126)

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Analysis of the selected studies in terms of tools used for implementing RNN models. by Fahmi H. Quradaa (17896527)

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Source Code for the Hierarchical Key Assignment Scheme (HKAS) by Baris Celiktas (22804778)

PCA-RF Python codes.txt by Junming Li (19324492)

“…<p dir="ltr">This text file is the PCA-RF model’s Python code. You can implement it in the Jupyter notebook.…”

Performance metrics for ProSmith and previously published methods for DTA prediction for different splitting scenarios. by Alexander Kroll (9304225)

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SecurityGuidelinesRetrievalForPythonCodeGen by Catherine Tony (18368913)

“…Using Task-Specific Guidelines for Secure Python Code Generation: Replication Package"</p><p dir="ltr">This replication package contains SecGuide along with the results of each step followed in its creation, the scripts that implement all the prompting approaches and the code generated by the LLMs using these approaches. …”

Python implementation of the geometric minimum action method (gMAM) by Pascal Wang (10130612)

“…<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." …”

Performance metrics for ProSmith and previously published methods for DTA prediction on the random split of the Davis dataset. by Alexander Kroll (9304225)

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Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education by Suha Assayed (22454038)

“…<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. …”

Python code for ray-tracing through Cartesian surfaces by Alberto Silva (8373543)

Simple implementation examples of agent AI on free energy calculation and phase-field simulation by Toshiyuki Koyama (22828581)

“…</p> <p>Using Gibbs energy calculations and diffusion simulations as examples, we demonstrated the implementation method and usefulness of simple agent AI, where sample python codes are distributed as supplemental materials.…”

Survey Dataset and Python Code for Preprocessing, Statistical Tests by Mohammed Nurudeen (11071551)

Local Python Code Protector Script: A Tool for Source Code Protection and Secure Code Sharing by Pavel Izosimov (20096259)

“…</li></ul><h2>Security and Best Practices</h2><p dir="ltr">By implementing <a href="https://xn--mxac.net/python-app-bundle-shield.html" target="_blank"><b>Python code security best practices</b></a>, including advanced cryptographic methods like <a href="https://xn--mxac.net/python-binary-optimization-compiler.html" target="_blank"><b>asymmetric encryption</b></a> and <a href="https://xn--mxac.net/python-binary-optimization-compiler.html" target="_blank"><b>symmetric encryption</b></a>, the Local Python Code Protector Script strives to keep code better protected during transmission and execution. …”