Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. by Samuel Cure (22250922)

“…<p>We simulate SIR epidemic processes on Watts-Strogatz networks with parameters <i>k</i>₀ = 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. …”

Python implementation of a wildfire propagation example using m:n-CAk over Z and R. by Pau Fonseca i Casas (9507338)

Example change statistic implementations. by Alex Stivala (8356257)

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PYTHON by Kan Jia (21666161)

Reproducible implementation for article: Reproducibility study of the modular and reusable model of epithelial transport in the proximal convoluted tubule by Leyla Noroozbabaee (14301173)

Python sript. by Kan Jia (6438599)

Overview of the implemented simulation tool and training framework in Diffrax. by Paul van Lent (16876977)

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

“…This tool allows developers worldwide to <b>share Python code securely</b>, ensuring their intellectual property is better protected from unauthorized access and misuse.…”

Python file of the computational framework. by Benoit Haut (9753029)

Apple point cloud generated by python script. by Xiaoyang Liu (1815211)

Parameter estimates and estimated standard errors from the EE algorithm. by Alex Stivala (8356257)

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Type II error rate from estimation of simulated outcomes using the EE algorithm. by Alex Stivala (8356257)

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Type I error rate from estimation of simulated outcomes using the EE algorithm. by Alex Stivala (8356257)

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SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

“…<p>SCADET algorithm parameter configuration (Python implementation).</p>…”

Python Code for Fine-Tuned BERT Model in High School Student Advising by Suha Assayed (22454038)

“…<p dir="ltr">This repository contains the Python implementation and fine-tuned BERT model for answering high school student questions on college and career advising, based on the methodology described in Assayed et al. (2024). …”

Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

“…However, using most of these software tools and choosing the most appropriate algorithm for a given optimization task require substantial technical expertise, which prevents the majority of researchers from using these methods effectively. 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. …”

Overview of the SBML models used in this study. The collection of models was retrieved from Biomodels [43] and a previously reported collection of SBML benchmark models [11]. The n... by Paul van Lent (16876977)

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Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool by Pavel Izosimov (20096259)

“…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. …”

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. …”

Example ALAAMEE output. by Alex Stivala (8356257)

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