- Chicago, IL
- https://edjeeongithub.github.io/
Highlights
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Starred repositories
A huge collection of Rofi based custom Applets, Launchers & Powermenus.
This repository contains digitized data from Pakistan Bureau of Statistics's 2017 Census results. We converted them to csv format to help analysts and researchers make use of the data in research p…
Dockerfile best-practices for writing production-worthy Docker images.
Various Dockerfiles I use on the desktop and on servers.
Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
A Unified Toolkit for Deep Learning Based Document Image Analysis
Convert lfe scripts to their fixest equivalents.
R package for implementing (S)imulation (B)ased (C)alibration using (R)ank (S)tatistics using the approach described in https://arxiv.org/abs/1804.06788
Cluster-robust (sandwich) variance estimators with small-sample corrections
Turn Tweet IDs into Twitter JSON & CSV from your desktop!
Applies Needleman-Wunsch algorithm to sequences of strings using Levenshtein distance as a scoring metric.
Panel Maneuvers in dplyr: An R package for cleaning and manipulating panel and hierarchical data
R package to estimate treatment effect in DID designs with many groups and periods.
Template for a generic Python project with dev sandboxes in containers. Includes examples of automated testing, log streaming, and relative imports.
Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.
Data Carpentry website (archive)
Assertive programming for R analysis pipelines
Quickly create elegant regression results tables and plots when modelling in R
Tutorial on how to use Git and GitHub an a scalable collaborative workflow and as a medium for open source, transparent, and replicable research by Richard Evans.
Fully automated provisioning of AWS EC2 Spot Instances for Deep Learning workloads using Terraform.
👻 Utilities for analyzing Bayesian models and posterior distributions
Multiple Fill, Color and Other Scales in `ggplot2`
R package for Bayesian meta-analysis models, using Stan