Hadi's starred repositories
the-art-of-command-line
Master the command line, in one page
the-algorithm
Source code for Twitter's Recommendation Algorithm
segment-anything
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.
Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
Awesome-Geospatial
Long list of geospatial tools and resources
EconML
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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
jupyter-ai
A generative AI extension for JupyterLab
segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
map-of-github
Inspirational Mapping
linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
modelsummary
Beautiful and customizable model summaries in R.
arasgungore-CV
My curriculum vitae (CV) written using LaTeX.
happy-git-with-r
Using Git and GitHub with R, Rstudio, and R Markdown
geospatial-data-catalogs
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
geospatial
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
Machine-Learning
Machine Learning and Causal Inference taught by Brigham Frandsen
mosaiks-paper
Code and data to support our paper
meta-review
Manuscript describing open collaborative writing with Manubot
R-as-GIS-for-Economists
This repository has codes for the R as GIS for Economists book including the Rmd files for the book chapters.
tensorflow-eo-training
Deep learning with TensorFlow and earth observation data.