Rahul S. Yerrabelli (ryerrabelli)

ryerrabelli

Geek Repo

Company:University of Illinois at Urbana-Champaign

Location:United States

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Rahul S. Yerrabelli's repositories

TonometrySimulation

Intraocular pressure IOP measurement with Goldmann applanation tonometry simulation

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8H9-Model-Essentials-Public

Pharmacokinetic Modeling and Optimization of Omburtamab (8H9) Delivered Through the CSF

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AppleWatchPulseData

This is a python program that can take the vital signs data from your apple watch (exported to a xml file from the iPhone health app) and statistically analyze it for the data, including taking outliers. This what originally made to see (confirm) whether I actually have a lower heart rate normally than my friend as a test of healthiness (I was right, by 13 bpm). In essence, this program is very useful to compare people. But it can also be for your own curiosity

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JoyStick

A simple JoyStick that use HTML5, Canvas and Vanilla JavaScript, for touch and mouse interfaces (no JQuery required), preview at:

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anki-connect

Anki plugin to expose a remote API for creating flash cards.

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anki-external_editor

Simple substitution of built in html editor with external tool

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cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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expo

An expo / table numbers app for your Devpost hackathon

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Hackalist.github.io

A list of upcoming hackathons from around the world.

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jmonkeyengine

Automatically exported from code.google.com/p/jmonkeyengine

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kegg2fasta

Build-A-Genome Mentor Project, Spring 2017

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python-project-template

Azavea Data Analytics team template for Data Science projects

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selfcontrol

:skull: Mac app to block your own access to distracting websites etc for a predetermined period of time. It can not be undone by the app or by a restart – you must wait for the timer to run out.

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TestPassingChances

I used this to calculate my odds of passing my NJ EMT exam. This process of analysis is cool. Just enter how many questions you were unsure of and the different categories of unsureness. If you're confident of how sure or unsure you were, the analysis gives a very powerful prediction (the standard deviation, 25-75 percentile, are pretty small). Of course, I always assume that I got more questions wrong than I actually did, so I usually do better than the mode- but that's my fault. And I passed my exam by a landslide.

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