Upscale an image by a factor of 4, while generating photo-realistic details.

ODK Central is a server that is easy to use, very fast, and stuffed with features that make data collection easier. Contribute and make the world a better place! ✨🗄✨

A high-performance R 📦 for supervised and unsupervised machine learning evaluation metrics witten in 'C++'.

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

Causal Inference in Observational Data with Unobserved Heterogeneity (Lecture Notes. Masters/PhD-level)

A Deep Learning based project for colorizing and restoring old images (and video!)

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

repositioning and resizing of images directly in quarto revealjs slides

Two-stage Difference-in-Differences package following Gardner (2021)

🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.

RiMusic is a multilingual and multiplatform application for streaming music

Superlatively-fast fuzzy-joins in R

Solve various integral equations using numerical methods in Python

Sintaxis en Stata para estimar indicadores con la Encuesta Demográfica y de Salud Familiar (ENDES) del Peru.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Extended two-way fixed effects

Estimation of Production Funtions

Synthetic difference in differences

NO LONGER MAINTAINED. Links to alternative packages are in the readme. Code to incorporate staggered treatment adoption (based on appendix from Arkhangelsky et al. 2021) into synthdid package

Econometrics lecture notes with examples using the Julia language

🔮 Easy access to model information for various model objects

Course material for Big Data in Economics (EC 510)

Keeping track of what is going on with the latest DiD innovations.

This repo contains the code to replicate the analyses in Baker, Larcker, Wang.

This repo contains the codes for Baker, Larcker, Wang - "How Much Should We Trust Staggered Difference-in-Differences Estimates?"

Microeconomics/macroeconomics charts in ggplot2

An R package for developers to check user-supplied function arguments

R functions for simulating factorial datasets

Causal inference GitHub for UT Austin