Coefficient of determination <i>R</i>² of ProSmith for different splitting scenarios of the Davis dataset. by Alexander Kroll (9304225)

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We divided the ESP test set into subsets according to the number of positive data points with the same small molecule in the training set. by Alexander Kroll (9304225)

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Performance metrics for ProSmith and ESP for the prediction of enzyme-substrate pairs. by Alexander Kroll (9304225)

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We divided the ESP test set into subsets according to the maximal sequence identity of an enzyme compared to all training enzymes. by Alexander Kroll (9304225)

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Drug-target affinity predictions improve with increasing drug similarity score compared to the training drugs. by Alexander Kroll (9304225)

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Performance metrics of ProSmith and previously published methods for the prediction of Michaelis constants <i>K</i>_M. by Alexander Kroll (9304225)

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Hyperparameters of the ProSmith Transformer Network. by Alexander Kroll (9304225)

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Enzyme-substrate pair predictions improve with increasing substrate similarity compared to training substrates. by Alexander Kroll (9304225)

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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. …”

Accuracy of the segmentation model. by Owen M. O’Connor (11965460)

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

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Implementations benchmark. by Serena Aneli (17002149)

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. …”

Re-Implementation of Refactory Tool by Aqsa Shabbir (18604261)

“…<p dir="ltr"><b># cs539-final-project</b><br><br><b>Re-implementation of Refactory: ReFactoring_Based_Program_Repair_Applied_to_Programming_Assignments**</b><br><br>This repository contains the replication package of re-implementation of Refactory: ReFactoring_Based_Program_Repair_Applied_to_Programming_Assignments tool on Existing and New Benchmark that are Refactory and IBM CodeNet dataset respectively.…”

Reducing the size of the model to increase speed. by Owen M. O’Connor (11965460)

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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. …”

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." …”

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

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Training the model on segmentation with custom weight maps. by Owen M. O’Connor (11965460)

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