Morris and Sobol Sensitivity Analyses of Composite Indicators Calculated Using the Ideal Point Aggregation Function (ver. 01) - Python Code by Arika Ligmann-Zielinska (14669582)

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.…”

Python code that implements the Hoshen Kopleman algorithm used to identify the clusters shown in Figs 9 and 10. by Leonardo Costa Ribeiro (10439243)

“…<p>Python code that implements the Hoshen Kopleman algorithm used to identify the clusters shown in Figs <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0285630#pone.0285630.g009" target="_blank">9</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0285630#pone.0285630.g010" target="_blank">10</a>.…”

ProSmith model overview. by Alexander Kroll (9304225)

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Hyperparameters of the ProSmith gradient boosting models. by Alexander Kroll (9304225)

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Python and sql scripts to disaggregate annual emissions into high time resolution data by Greet J. Maenhout (8121812)

“…The file named 'Python_sql_codes_to_implement_temp_profiles.zip' contains the Python codes and some sql scripts used to apply temporal profiles to disaggregate EDGAR annual emissions into higher time resolution data. …”

Core concepts implemented in the MetDataModel package. by Joshua M. Mitchell (14703178)

DataSheet_1_AirSeaFluxCode: Open-source software for calculating turbulent air-sea fluxes from meteorological parameters.pdf by Stavroula Biri (14571707)

“…In this paper, we present a Python 3.6 (or higher) open-source software package “AirSeaFluxCode” for the computation of the heat (latent and sensible) and momentum fluxes. …”

The logical blocks of the epithelial model implementation. by Leyla Noroozbabaee (14100772)

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DataSheet1_OSAFT Library: An Open-Source Python Library for Acoustofluidics.zip by Jonas Fankhauser (12895304)

“…Our code is designed to be extensible. A library of fluid and solid material models facilitates the implementation of new theories. …”

Data_Sheet_1_Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs.pdf by Denis Alevi (11805765)

“…These advances, however, are often not available to researchers interested in simulating spiking neural networks, but lacking the technical knowledge to write the necessary low-level code. Writing low-level code is not necessary when using the popular Brian simulator, which provides a framework to generate efficient CPU code from high-level model definitions in Python. …”

SecurityGuidelinesRetrievalForPythonCodeGen by Catherine Tony (18368913)

“…Using Task-Specific Guidelines for Secure Python Code Generation: Replication Package"</p><p dir="ltr">This replication package contains SecGuide along with the results of each step followed in its creation, the scripts that implement all the prompting approaches and the code generated by the LLMs using these approaches. …”

Replacing the final prediction layer of end-to-end trained Transformer Networks with gradient boosting models improves performance. by Alexander Kroll (9304225)

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Python implementation of the geometric minimum action method (gMAM) by Pascal Wang (10130612)

“…<p>The Python 3 script <code>gmam_demo.py</code> found in this repository implements the geometric minimum action method (gMAM) as presented in Heymann, M. and Vanden-Eijnden, E. (2008), "The geometric minimum action method: A least action principleon the space of curves." …”

ProSmith outperforms the ESP model in the prediction of enzyme-substrate pairs especially for molecules with limited representation in the test data. by Alexander Kroll (9304225)

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Performance metrics for all three trained gradient boosting models with different input vectors and for their combined weighted mean prediction. by Alexander Kroll (9304225)

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Runtime comparison using our API vs published/standard Python implementations. by Lu Bin Liu (14279482)

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Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory by E. Grajales-González (6083633)

“…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …”

Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory by E. Grajales-González (6083633)

“…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …”

The optimal ProSmith models combine predictions based on the multimodal Transformer Network with predictions based on separate numerical representations of proteins and small molec... by Alexander Kroll (9304225)

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