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

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 by Kan Jia (21666161)

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)

“…<div><p>The autologistic actor attribute model (ALAAM) is a model for social influence, derived from the more widely known exponential-family random graph model (ERGM). …”

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

Python sript. by Kan Jia (6438599)

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

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

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

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)

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

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). …”

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

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

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. …”

Example ALAAMEE output. by Alex Stivala (8356257)

Example ALAAMEE goodness-of-fit output. by Alex Stivala (8356257)

Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python) by Robert Zomer (12796235)

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

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