rachithaiyappa Goto Github PK

asynchronous_discontinuous_collective_behaviour

This repository contains Fortran 95 code for the model described in the paper "Disentangling and modeling interactions in fish with burst-and-coast swimming reveal distinct alignment and attraction behaviors" by Calovi et al. 2018. This is NOT the code released by the authors of the paper. Instead, it is a part my summer project with them which l continued into my Master's Thesis

beliefnet

This repository host the main part of the code which led to the results in our paper Weighted Belief Networks Unify Simple and Complex Contagion Dynamics

bifurcation_diagrams

This is a part of my undergraduate thesis at IISc.This is an extension of Jitesh et al work on mesoscopic models of collective behaviour

csb505_appliedalgo

data

Data and code behind the articles and graphics at FiveThirtyEight

datasciencecoursera

datasharing

The Leek group guide to data sharing

dviz-course

Data visualization course material

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

flant5_data

Probing into the training and instruction tuning data of FlanT5

github-action-markdown-link-check

Check all links in markdown files if they are alive or dead. 🔗✔️

hello-world

This is an long pending attempt to understand how I can use GitHub

i601-intro-to-complex-systems

Programming assignments of the class

information_cascades

A model which couple the dynamics on a network with the dynamics of the underlying network topology.

netsci-course

IU SICE Network Science course

personalised_mass_email

phase-diagrams

This is a part of my undergraduate thesis at IISc where I looked into the phase diagrams of the models presented in Jitesh et. al.(2018) : Deriving mesoscopic models of collective behaviour for finite populations

rachithaiyappa.github.io

Rachith Aiyappa's blog

spatial-model

Spatial implementation of the models discussed in Jitesh et. al(2018) : Deriving mesoscopic models of collective behaviour for finite populations

tldr

📚 Simplified and community-driven man pages