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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PTPC-UHT bounce حسب David Parry (22169299)

"…<br>It contains the full Python implementation of the PTPC bounce model (<code>PTPC_UHT_bounce.py</code>) and representative outputs used to generate the figures in the paper. …"

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

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Code program. حسب Honglei Pang (22693724)

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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Exploring the integration of metaverse technologies in engineering education through the SAMR model حسب Snezhana Dineva (22444471)

"…The final deliverable is a plan for phased integration of metaverse learning into a Python programming course following this model, building on existing best practices.…"

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)

Correlation (a) and Mean-Absolute-Error (b) between frequencies at a reference cutoff, δ₀, and different frequencies, , at different cutoff-values, δ_scan ∊ [3... حسب Guillermo Pérez-Hernández (21156182)

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.…"

Code interpreter with LLM. حسب Jin Lu (428513)

"…Additionally, the integration of an LLM Code Interpreter enables the system to perform multi-step logical reasoning and execute Python code for precise calculations, significantly improving its ability to solve mathematical problems and handle complex queries. …"

ZILLNB_Model حسب Qinhuan Luo (21288548)

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

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

"…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. Neuroptimus also offers several features to support more advanced usage, including the ability to run most algorithms in parallel, which allows it to take advantage of high-performance computing architectures. …"

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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Datasets To EVAL. حسب Jin Lu (428513)

"…Additionally, the integration of an LLM Code Interpreter enables the system to perform multi-step logical reasoning and execute Python code for precise calculations, significantly improving its ability to solve mathematical problems and handle complex queries. …"