This repository has codes for the R as GIS for Economists book including the Rmd files for the book chapters.

Generalized Random Forests

Beautiful and customizable model summaries in R.

A generative AI extension for JupyterLab

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…

Up-to-date version of labs for ISLP

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

Master the command line, in one page

An Xarray extension for Google Earth Engine

Using Git and GitHub with R, Rstudio, and R Markdown

Long list of geospatial tools and resources

A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.

A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps

Manuscript describing open collaborative writing with Manubot

Geographical Data Processing in the Cloud

Panel: The powerful data exploration & web app framework for Python

A hyperparameter optimization framework

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Repo for Yale Applied Empirical Methods PHD Course

Code and data to support our paper

Inspirational Mapping

A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index

The simplest, fastest repository for training/finetuning medium-sized GPTs.

My curriculum vitae (CV) written using LaTeX.

Machine Learning and Causal Inference taught by Brigham Frandsen

Deep learning with TensorFlow and earth observation data.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Source code for Twitter's Recommendation Algorithm

10 Weeks, 20 Lessons, Data Science for All!