nealjean / predicting-povertyView external linksLinks
Combining satellite imagery and machine learning to predict poverty
☆466Feb 7, 2020Updated 6 years ago
Alternatives and similar repositories for predicting-poverty
Users that are interested in predicting-poverty are comparing it to the libraries listed below
Sorting:
- A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty☆96Oct 3, 2023Updated 2 years ago
- Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"☆37May 4, 2018Updated 7 years ago
- Training and test the SegNet neural network on satellite imagery☆204May 2, 2018Updated 7 years ago
- Tutorial for using nighttime imagery from Suomi NPP's VIIRS instrument☆22Sep 12, 2018Updated 7 years ago
- [DEPRECATED] Data pipeline for machine learning with OpenStreetMap☆168Oct 12, 2018Updated 7 years ago
- Scripts for setting up the SpaceNet dataset for training a SegNet model☆43Oct 7, 2016Updated 9 years ago
- Machine Learning for Development: A method to Learn and Identify Earth Features from Satellite Images☆51Aug 10, 2017Updated 8 years ago
- Using LANDSAT7 satellite images to predict population.☆12Jun 10, 2016Updated 9 years ago
- A comparative assessment of machine learning classification algorithms applied to poverty prediction☆60Sep 28, 2018Updated 7 years ago
- Train a deep learning net with OpenStreetMap features and satellite imagery.☆1,330Mar 13, 2017Updated 8 years ago
- Code for constructing the urban environments dataset and for land use classification via convolutional neural networks☆119May 14, 2018Updated 7 years ago
- Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs☆19Dec 23, 2021Updated 4 years ago
- ☆237Mar 1, 2023Updated 2 years ago
- Data Preparation for Satellite Machine Learning☆471Oct 3, 2023Updated 2 years ago
- 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning☆3,866Jul 14, 2022Updated 3 years ago
- Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.☆602Jul 11, 2018Updated 7 years ago
- Python Examples for Remote Sensing☆465Feb 20, 2018Updated 7 years ago
- Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymy…☆264Jul 22, 2021Updated 4 years ago
- R Package for Automated Speech Recognition☆10Aug 10, 2015Updated 10 years ago
- Open Data Kit R API☆11Jan 26, 2026Updated 3 weeks ago
- Stata -odkmeta- program for importing ODK data☆18Apr 4, 2016Updated 9 years ago
- Causal machine learning pipeline using tlverse/sl3☆13Dec 21, 2025Updated last month
- Introduction to Applied Data Analysis for Social Science☆53Oct 2, 2016Updated 9 years ago
- Develop machine learning models for poverty estimation☆31May 16, 2024Updated last year
- ☆10Aug 30, 2017Updated 8 years ago
- Convolutional variational autoencoders and text-question, emoji-answer models☆11Jun 19, 2017Updated 8 years ago
- A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns☆12Jul 19, 2018Updated 7 years ago
- Targeted inference (R package) https://kkholst.github.io/targeted/☆12Feb 9, 2026Updated last week
- Data-Intensive International Development, U.C. Berkeley, Spring 2017☆23Feb 23, 2021Updated 4 years ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆24Jan 18, 2022Updated 4 years ago
- Crop Yield Prediction with Deep Learning☆416May 27, 2023Updated 2 years ago
- Accessing the Facebook Marketing API using httr in R, for demographic researchers☆21Nov 8, 2017Updated 8 years ago
- OCNG/ATMO 677 Geophysical Data Assimilation☆13Sep 7, 2016Updated 9 years ago
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆14Aug 6, 2022Updated 3 years ago
- Tutorials for Oceanhackweek 2018☆14Dec 14, 2018Updated 7 years ago
- Quick Generalized Full Matching in R☆11Nov 29, 2023Updated 2 years ago
- OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "…☆197Nov 22, 2022Updated 3 years ago
- "Did you mean?" for R.☆49Aug 16, 2016Updated 9 years ago
- babble-rnn is a research project in the use of machine learning to generate new speech by modelling human speech audio, without any inter…☆35Mar 16, 2018Updated 7 years ago