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

EthoPy: Reproducible Behavioral Neuroscience Made Simple حسب Alexandros Evangelou (22235917)

"…To overcome these challenges, we developed EthoPy, an open-source, Python-based behavioral control framework that integrates stimulus presentation, hardware management, and data logging. …"

Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. حسب 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. حسب Pau Fonseca i Casas (9507338)

Example change statistic implementations. حسب Alex Stivala (8356257)

"…ALAAMEE implements both the stochastic approximation and equilibrium expectation (EE) algorithms for ALAAM parameter estimation, including estimation from snowball sampled network data. …"

PYTHON حسب Kan Jia (21666161)

Python sript. حسب Kan Jia (6438599)

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

Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management حسب 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.…"

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

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

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

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

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

Workflow of a typical Epydemix run. حسب Nicolò Gozzi (8837522)

"…By lowering the barrier for the implementation of computational and inference approaches, Epydemix makes epidemic modeling more accessible to a wider range of users, from academic researchers to public health professionals.…"

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... حسب Paul van Lent (16876977)

Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions حسب Zahir Barahmand (18008947)

"…</p><p dir="ltr">This Python code was optimized and debugged using ChatGPT-4o to ensure implementation efficiency, accuracy, and clarity.…"

Design and Implementation of a Browser-Based Toolfor Protecting Gaming Assets from UnauthorizedAccess حسب Alim Imashev (22606007)

"…<p dir="ltr">The project <b>“Design and Implementation of a Browser-Based Tool for Protecting Gaming Assets from Unauthorized Access”</b> focuses on developing a security-oriented software solution that safeguards digital game assets within browser environments.…"

Python Code for Fine-Tuned BERT Model in High School Student Advising حسب 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. حسب 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. …"