Aidan Draper (adraper2)

adraper2

Geek Repo

Company:R365

Location:New York, NY

Home Page:http://aidandraper.com

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Aidan Draper's repositories

KeyloggerGUI

Keylogger GUI for Graduate Operating Systems at ND

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3DHandClassification

A repo for my Graduate Computer Vision I semester project

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spotitry

A python script that uses Spotipy to create a custom Spotify playlist based on a user's current "short term" listening habits.

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adraper2.github.io

Portfolio Site built with ReactJS hosted on GitHub pages with a custom domain.

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airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

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aws-ssm-tools

Handy tools for AWS Systems Manager - ssm-session, ecs-session, ssm-ssh and ssm-tunnel

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conda

OS-agnostic, system-level binary package manager and ecosystem

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CSC-431-HPC

C code written for CSC 431 - High Performance Computing

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my-dotfiles

My dotfiles as of late.

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CSC401-Final-Project

Analyzing my own Spotify Saved Music listening habits to detect oddities and shifts in mood

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datasets

Misc. datasets

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DISC_bayesian

This is a repository for project 2 during my DISC REU research program at the University of Notre Dame. This project involved applying a bayesian point process model using a forestry dataset from the 1800s.

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DISC_chesapeake

Project 1 of the DISC REU at Notre Dame. It involves classifying sedge and grass plots within the Chesapeake Bay using satellite image processing.

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dotfiles-public

My personal dotfiles

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missingno

Missing data visualization module for Python.

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monodepth2

[ICCV 2019] Monocular depth estimation from a single image

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Noise_Reduction_Research-STS499

This is a Github repository for my explorative analysis of statistical methods for reducing noise in signals, or photos specifically.

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pandas_exercises

Practice your pandas skills!

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rust_intro

A repo for me to play around with rust and cargo

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shields

Concise, consistent, and legible badges in SVG and raster format

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stats-code

Various statistics scripts from my Fall semester 2018 classes. Most of these were created for fun, or to make filling in factor diagrams easier.

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sts347-final

This was the final project for our STS 347 project where we were asked to create a statistics-related Shiny App within R that could be understood by both, statistical and non-statistical, audiences.

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