Overview of the implemented simulation tool and training framework in Diffrax. by Paul van Lent (16876977)

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

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Source Code for the Hierarchical Key Assignment Scheme (HKAS) by Baris Celiktas (22804778)

PHOTONAI explorer. by Ramona Leenings (11167294)

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Python script of the PREDICATE tool written in a Jupyter Notebook format. by Nantia Leonidou (14833068)

Comparison of BlueRecording with existing tools by Joseph James Tharayil (21416715)

“…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”

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

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Implementation of the 1D heat model with array programming. by Xuzhen He (14676114)

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

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Impact of frame shifts on tracking model performance. by Owen M. O’Connor (11965460)

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PCA-RF Python codes.txt by Junming Li (19324492)

“…<p dir="ltr">This text file is the PCA-RF model’s Python code. You can implement it in the Jupyter notebook.…”

Example of loading and running BNGL model in MCell4. by Adam Husar (18437351)

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Utilizing variable background weight maps for training the model on debris. by Owen M. O’Connor (11965460)

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Loss history of segmentation model trained over 600 epochs. by Owen M. O’Connor (11965460)

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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. …”

Implementations benchmark. by Serena Aneli (17002149)

Schematic showing how the tracking model uses the inputs to make predictions. by Owen M. O’Connor (11965460)

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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.…”

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." …”