Alex Quistberg's starred repositories
cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
techniques
Techniques for deep learning with satellite & aerial imagery
annotation
Annotation of datasets for deep learning applied to satellite and aerial imagery
Satellite-Image-Time-Series-Datasets
This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning tasks. It covers multi-temporal datasets with more than two acquisitions but not bi-temporal datasets.
Data-Wrangling
Teaching material for Summer Institute in Statistics for Big Data Module 1.
Efficient_ResNets
A Residual Network Design with less than 5 million trainable parameters achieving an accuracy of 96.04% on CIFAR-10.
Place-Pulse
Place Pulse code repository
private-gpt
Interact with your documents using the power of GPT, 100% privately, no data leaks
streetview
Python package for retrieving current and historical photos from Google Street View
city-growth-patterns-on-traffic-and-urban-mobility
Use of Waze data to better understand mobility issues in Romania
prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
integrated-framework-for-road-safety
Provides a road safety scan using machine learning to derive characteristics from street view images and predict road risk
informal-settlements
The code for the following papers: https://arxiv.org/pdf/1812.00786.pdf and https://arxiv.org/abs/1901.00861 see the website for more details:
machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
The-Stata-Guide
Files for the Stata Guide on Medium https://medium.com/the-stata-guide
SouthAmericaBuildingFootprints
building footprints in South America
displacement-typologies
The Urban Displacement Project's Displacement Typology Map code