Python Jupyter notebook implementing similar neural networks. حسب Pierre-Philippe Dechant (10751360)

ProSmith model overview. حسب Alexander Kroll (9304225)

الموضوعات:

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

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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. …"

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

Presentation_1_NWB Query Engines: Tools to Search Data Stored in Neurodata Without Borders Format.pdf حسب Petr Ježek (8647884)

Presentation_1_NWB Query Engines: Tools to Search Data Stored in Neurodata Without Borders Format.pdf حسب Petr Ježek (8647884)

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. …"

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

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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. …"

Re-Implementation of Refactory Tool حسب 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 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." …"

Presentation_1_Rule-based semi-automated tools for mapping seabed morphology from bathymetry data.pdf حسب Zhi Huang (472377)

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)

الموضوعات:

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

الموضوعات:

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. …"