This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.

Computational economics in Python

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

PyTorch implementation of popular datasets and models in remote sensing

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

A Comprehensive Toolkit for High-Quality PDF Content Extraction

Techniques for deep learning with satellite & aerial imagery

OCR, layout analysis, reading order, table recognition in 90+ languages

Design-Based Inference Mixtape Session taught by Peter Hull

R companion to Angrist Pischke Mostly Harmless econometrics

Kolmogorov Arnold Networks

Access large language models from the command-line

This repo provides instructions on how to build an R docker image that can serve as the basis for interactive or automated reproducible processing

R client to the PIP API

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

4PP database - plaatsnamen, postcodes, geolocatie (latitude x longitude)

an R package which writes SPARQL queries

Shortest Paths and Travel Time from OpenStreetMap with R

acdh-histogis is a python package providing a high level api to interact with HistoGIS

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Satellite image time series in R

PhD Applied Econometrics class taught at UC Berkeley

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Sample scripts and notebooks on processing satellite imagery Python Geospatial raster

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Superlatively-fast fuzzy-joins in R

A CLI Swiss Army Knife for ChatGPT

R package MatchIt