ProSmith model overview. حسب Alexander Kroll (9304225)

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The three-step workflow for generating biomass objective functions from experimental data with BOFdat. حسب Jean-Christophe Lachance (6619307)

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

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PyLandStats: An open-source Pythonic library to compute landscape metrics حسب Martí Bosch (8087852)

"…The PyLandStats package provides a set of methods to quantify landscape patterns, such as the analysis of the spatiotemporal patterns of land use/land cover change or zonal analysis. The implementation is based on the prevailing Python libraries for geospatial data analysis in a way that they can be forthwith integrated into complex computational workflows. …"

Python and sql scripts to disaggregate annual emissions into high time resolution data حسب 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. …"

DataSheet_1_AirSeaFluxCode: Open-source software for calculating turbulent air-sea fluxes from meteorological parameters.pdf حسب 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. …"

DataSheet1_OSAFT Library: An Open-Source Python Library for Acoustofluidics.zip حسب 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 حسب 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 حسب 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. حسب Alexander Kroll (9304225)

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Python implementation of the geometric minimum action method (gMAM) حسب 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. حسب 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. حسب Alexander Kroll (9304225)

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

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Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory حسب 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 حسب 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... حسب Alexander Kroll (9304225)

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Data_Sheet_1_An Open-Source Tool for Anisotropic Radiation Therapy Planning in Neuro-oncology Using DW-MRI Tractography.pdf حسب Kesshi Jordan (7329089)

"…We present an open-source WMPL tool, implemented in the package Diffusion Imaging in Python (DIPY), and code to convert the resulting WMPL map to anisotropic contours for RT in a commercial treatment planning system. …"

ProSmith outperforms previous models in the prediction of Michaelis constants <i>K</i>_M especially for enzymes not highly similar to proteins in the training set. حسب Alexander Kroll (9304225)

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Python code for ray-tracing through Cartesian surfaces حسب Alberto Silva (8373543)