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

“…<p>We simulate SIR epidemic processes on Watts-Strogatz networks with parameters <i>k</i>₀ = 5, <i>p</i> = 0.1 <b>(a)</b> and Barabási-Albert networks with parameter <i>m</i> = 5 <b>(b)</b> using the Python wrapper of our C++ implementation and compare its performance with the Python library from Ref. …”

Python implementation of a wildfire propagation example using m:n-CAk over Z and R. by Pau Fonseca i Casas (9507338)

“…<p dir="ltr"># m:n-CAk Wildfire Simulation Project</p><p dir="ltr"><br></p><p dir="ltr">## Overview</p><p dir="ltr">This project simulates the spread of a wildfire using a cellular automaton model based on m:n-CAk. The simulation takes into account various factors such as vegetation type, and humidity levels, to model the propagation of the fire over a landscape. …”

Fitting a feast/famine cycle to a glycolysis model. by Paul van Lent (16876977)

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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. …”

Modeling lung cancer AST network and its perturbation with a SOX2 degrader. (A) Lung Cancer AST Network and the corresponding stochastic equations. Parameters are , , , , , , , , w... by Ziyan Jin (21021976)

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

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

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Results obtained from the Bistable Gut Inflammation Detector model. by Fabricio Cravo (21387854)

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Segmentation module training details. by Khelina Fedorchuk (19130089)

Python scripts and notebooks by Ismail Belgacem (20845811)

(a) System dynamics: schematic representation of all the reactions in the Tree model, which are aging, reproduction, color cycle, and competition. by Fabricio Cravo (21387854)

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

“…</li><li><b>Commercial Distribution</b>: Safely share Python code with clients or customers, implementing advanced <b>Python code protection tools</b> for sales or rentals.…”

Jaxkineticmodel allows for hybridizing kinetic models with neural networks. by Paul van Lent (16876977)

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Analysis of convergence properties for a collection of SBML models. by Paul van Lent (16876977)

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Overview of the SBML models used in this study. The collection of models was retrieved from Biomodels [43] and a previously reported collection of SBML benchmark models [11]. The n... by Paul van Lent (16876977)

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Left schematic of the XOR gate implementation [11]. by Fabricio Cravo (21387854)

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Simulated dynamics of the Mutual Annihilation protocol [26]. by Fabricio Cravo (21387854)

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Heatmap showing the simulated output of the XOR circuit by Tamsir <i>et al</i>. [11]. by Fabricio Cravo (21387854)

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Simulation results for the phage communication circuit from Pathania <i>et al</i>. [5]. by Fabricio Cravo (21387854)

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Matching products with reactants for the example meta-reaction where S1 and S2 are distinct meta-species. by Fabricio Cravo (21387854)

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