Python sript. حسب Kan Jia (6438599)

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)

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Jaxkineticmodel allows for hybridizing kinetic models with neural networks. حسب Paul van Lent (16876977)

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Analysis of convergence properties for a collection of SBML models. حسب Paul van Lent (16876977)

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Segmentation module training details. حسب Khelina Fedorchuk (19130089)

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

"…In recent years, manual model tuning has been gradually replaced by automated parameter search using a variety of different tools and methods. …"

Fitting a feast/famine cycle to a glycolysis model. حسب Paul van Lent (16876977)

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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). …"

ALAAM models for the Deezer networks, with liking “alternative” music as the outcome variable. حسب Alex Stivala (8356257)

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

Models estimated using ALAAMEE for the Deezer networks, with liking jazz as the outcome variable. حسب Alex Stivala (8356257)

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

"…Supporting figures and tables are available in the repository</p><p dir="ltr">Data processing was implemented in Python 3.11 and attached are all the python scripts used for preprocessing , and statistical Analysis and also the questionnaire used for the study.…"

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

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs حسب Zahir Barahmand (18008947)

"…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…"

ZILLNB_Model حسب Qinhuan Luo (21288548)

"…<p dir="ltr">Acquire latent variables using deep-learning based model implemented in python</p>…"

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... حسب Ziyan Jin (21021976)

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BSTPP: a python package for Bayesian spatiotemporal point processes حسب Isaac Manring (20705955)

"…However, they are sometimes neglected due to the difficulty of implementing them. There is a lack of packages with the ability to perform inference for these models, particularly in python. …"

Finites differences python code to solve CH equation with a source term and Comsol routine to solve Brusselator equation in radial domains. حسب Giulio Facchini (9031490)

Configurations used in ALAAMs for undirected networks. حسب Alex Stivala (8356257)

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

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