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🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Eureka is a feature-rich and highly customizable Hugo theme.
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
Tools for quickly normalizing image datasets
Class resources for CAPP 30254 (Machine Learning for Public Policy)
Matrix Completion Methods for Causal Panel Data Models
Python script for geocoding addresses in batches using Google Geocode API
A huge dataset for binary segmentation of clouds in satellite images
Example of how to structure a workshop in R. Originally for "Introduction to R + OSM", State of the Map Conference, October 2018
Latitude/Longitude and Name data for Indian electoral polling stations (data and scraper included)
R companion to Angrist Pischke Mostly Harmless econometrics
rickecon / WB-India
Forked from OpenRG/WB-IndiaMaterials for India-World Bank fiscal modeling and overlapping generations model training
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
parthkhare / usgs_app
Forked from ramnathv/usgs_appShiny app to interact with USGS and other data