FWC python implementation by Roland Mühlenbernd (11755871)

A Python implementation of Gardner's model by Quentin Brissaud (12461415)

“…<p>A Python implementation of Gardner's model to generate atmospheric gravity-wave perturbations</p>…”

python3 software to reproduce Figs 6, 7 and 8. by Stéphane Plaszczynski (14992817)

Modelling COVID-19 evolution and control in Portugal: Code and data from 2 of March to 19 August 2020. by Ricardo Jorge Pais (3627494)

“…In this online repository we include the code for implementing the mathematical model and running the simulations using PLAS software. …”

ElectroPredictor: An Application to Predict Mayr’s Electrophilicity <i>E</i> through Implementation of an Ensemble Model Based on Machine Learning Algorithms by Sebastián A. Cuesta (12048044)

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Python script implementation of butanol and butanol producer models. by Laura de Arroyo Garcia (9226096)

SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

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. …”

ProSmith model overview. by Alexander Kroll (9304225)

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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. …”

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

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The optimal ProSmith models combine predictions based on the multimodal Transformer Network with predictions based on separate numerical representations of proteins and small molec... by Alexander Kroll (9304225)

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Reproducing neural dynamics recorded from larval zebrafish subpallium. by Lu Bin Liu (14279482)

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AiZynthTrain: Robust, Reproducible, and Extensible Pipelines for Training Synthesis Prediction Models by Samuel Genheden (1273512)

“…We introduce the AiZynthTrain Python package for training synthesis models in a robust, reproducible, and extensible way. …”

Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

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GLAMbox: A Python toolbox for investigating the association between gaze allocation and decision behaviour by Felix Molter (8130300)

“…The model space is particularly scarce for choice sets with more than two choice alternatives. …”

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

Replacing the final prediction layer of end-to-end trained Transformer Networks with gradient boosting models improves performance. by Alexander Kroll (9304225)

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ProSmith outperforms the ESP model in the prediction of enzyme-substrate pairs especially for molecules with limited representation in the test data. by 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. by Alexander Kroll (9304225)

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