Tools used in implementing the RNN models. by Fahmi H. Quradaa (17896527)

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Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education by Suha Assayed (22454038)

“…<p dir="ltr">This repository contains the Python source code and model implementation for HSGAdviser, an AI speech assistant designed to provide personalized college and career guidance for high school students through conversational AI. …”

Analysis of the selected studies in terms of tools used for implementing RNN models. by Fahmi H. Quradaa (17896527)

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

Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. by Samuel Cure (22250922)

Schematic example of multiscale modelling implementation. by Robyn M. Stuart (3754000)

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

Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management by Pavel Izosimov (20096259)

PyRates—A Python framework for rate-based neural simulations by Richard Gast (8129451)

“…While many such tools exist for different families of neural models, there is a lack of tools allowing for both a generic model definition and efficiently parallelized simulations. …”

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

“…<br>```<br><br><b>## Setup</b><br><br><b>### Extract Dataset</b><br><br>`unzip data.zip`<br><br><b>### Install Ubuntu/Debian packages</b><br><br>`sudo apt-get install python3 python3-pip`<br><br><b>### Install Python packages</b><br><br>The is implemented in Python 3.10.12. …”

Hardware parameters of optimal implementations. by Xuzhen He (14676114)

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Locality of reference in optimal implementations. by Xuzhen He (14676114)

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

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OPTIMIZED DETERMINATION OF 3D COORDINATES IN THE SURVEY OF INACCESSIBLE POINTS OF BUILDINGS - EXAMPLE OF APPLICATION IMPLEMENTED IN FREE SOFTWARE by Leandro Luiz Silva de França (6625883)

NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology by Nathan Braniff (14149834)

“…To support OED investigations, the NLoed package implements maximum likelihood fitting and diagnostic tools, providing a comprehensive modeling workflow. …”

Table_2_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

“…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”

Table_1_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

“…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”

Table_2_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

“…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”

Table_1_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

“…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”

PySHS: Python Open Source Software for Second Harmonic Scattering by Lotfi Boudjema (4177942)

“…This article presents the model implemented in the PySHS software and gives some computational examples. …”