Topic: markovian-epidemic-processes Goto Github
Some thing interesting about markovian-epidemic-processes
Some thing interesting about markovian-epidemic-processes
markovian-epidemic-processes,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
User: akshaykhadse
markovian-epidemic-processes,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 was able to update the probabilities of a virus from spreading from A to B in real time, and I plan to release it to the public next year. I also used Machine Learning and Deep Learning to predict larger long-term virus trends with Google Trends, and this acted as a validator for the MSIRD model.
User: danielhanchen
markovian-epidemic-processes,Program to find number of differential equations needed to express an SIR(P) network exactly.
User: ethan-cs
markovian-epidemic-processes,Implementation of SIS epidemic model for large and heterogeneous networks using Fortran.
User: wcota
Home Page: https://doi.org/10.1016/j.cpc.2017.06.007
markovian-epidemic-processes, Implementation of SIS epidemic model with a Gillespie Algorithm - NOT optimized
User: wcota
Home Page: https://doi.org/10.1016/j.cpc.2017.06.007
markovian-epidemic-processes,Networkx implementation of the SIS epidemic model for large and heterogeneous networks
User: wcota
Home Page: https://doi.org/10.1016/j.cpc.2017.06.007
markovian-epidemic-processes,Implementation of SIS epidemic model for large and heterogeneous networks
User: wcota
Home Page: https://doi.org/10.1016/j.cpc.2017.06.007
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