Networkx implementation of the SIS epidemic model for large and heterogeneous networks
Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay
Implementation of SIS epidemic model for large and heterogeneous networks using Fortran.
I noticed that traditional methods to predict a disease outbreak was by performing sentiment analysis on Twitter posts and Google Search terms. Unfortunately, these methods were inadequate, as Twitter and Google is not popular in all countries. So, I created a system to model and predict outbreaks without the need for social media. The system wa…
Implementation of SIS epidemic model for large and heterogeneous networks
Program to find number of differential equations needed to express an SIR(P) network exactly.
Implementation of SIS epidemic model with a Gillespie Algorithm - NOT optimized
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