rachithaiyappa Goto Github PK
Name: Rachith Aiyappa
Type: User
Company: Indiana University
Bio: Ph.D. student. If I'm not here, I'm mostly here: https://github.iu.edu/racball
Twitter: rachithaiyappa
Location: Bloomington
Name: Rachith Aiyappa
Type: User
Company: Indiana University
Bio: Ph.D. student. If I'm not here, I'm mostly here: https://github.iu.edu/racball
Twitter: rachithaiyappa
Location: Bloomington
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
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
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
Data and code behind the articles and graphics at FiveThirtyEight
The Leek group guide to data sharing
Data visualization course material
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Probing into the training and instruction tuning data of FlanT5
Check all links in markdown files if they are alive or dead. 🔗✔️
This is an long pending attempt to understand how I can use GitHub
Programming assignments of the class
A model which couple the dynamics on a network with the dynamics of the underlying network topology.
IU SICE Network Science course
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
Rachith Aiyappa's blog
Spatial implementation of the models discussed in Jitesh et. al(2018) : Deriving mesoscopic models of collective behaviour for finite populations
📚 Simplified and community-driven man pages
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.