Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2 and Pytorch.

Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2

Polars R binding

An R-package for fitting glm's with high-dimensional k-way fixed effects

Shiny dashboard for creating and evaluating written single- or multiple-choice exams and building reusable exercise pools.

MELTT: Matching Event Data by Location, Time, and Type

Repository for sharing tidy Tuesday files

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

This repo consists of three themes for the ggplot2 and new colour palettes. Enjoy the new themes!

Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.

Innsbrucker Summer Seminar 2022

Generalized Random Forests

ML Collections is a library of Python Collections designed for ML use cases.

Scalable and user friendly neural 🧠 forecasting algorithms.

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

Repo for Yale Applied Empirical Methods PHD Course

Lecture notes for EC 607

Merlion: A Machine Learning Framework for Time Series Intelligence

Code and content for "Tidy Modeling with R"

Source of tidyverse.org