Highlights
- Pro
Stars
This repository has codes for the R as GIS for Economists book including the Rmd files for the book chapters.
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
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
Panel: The powerful data exploration & web app framework for Python
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
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.