unicef-ai4d-poverty-mapping

Poverty mapping

Develops datasets and machine learning models to estimate poverty levels across Southeast Asia using geospatial analysis and machine learning techniques.

UNICEF AI4D Relative Wealth Mapping Project - datasets, models, and scripts for building relative wealth estimation models across Southeast Asia (SEA)

GitHub

21 stars
3 watching
9 forks
Language: Jupyter Notebook
last commit: 6 months ago
Linked from 1 awesome list

geospatial-analysismachine-learningsocial-impact

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
carsonluuu/poverty-prediction-by-satellite-imagery An effort to analyze socioeconomic data using satellite imagery and machine learning techniques. 43
deepvector/geospatial-machine-learning Curated resources and code projects for machine learning in geospatial data science 536
jshilong/gpt4roi Training and deploying large language models on computer vision tasks using region-of-interest inputs 506
nshaud/deepnetsforeo Developing deep learning models for Earth Observation using remote sensing images 476
jbferet/biodivmapr Maps biodiversity from remote-sensed images using statistical methods 47
jgrss/cultionet A deep learning library for image segmentation of cultivated land from satellite data 26
kaiyangzhou/dassl.pytorch A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. 1,217
vmarsocci/3dcd Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. 28
orion-ai-lab/kurosiwo A large-scale dataset and software framework for remote sensing-based flood mapping using SAR data 39
microsoft/farmvibes-ai A framework for building geospatial machine learning models that fuse multiple datasets to gain insights into agriculture and sustainability 684
ikashnitsky/the-lancet-2018 Reproduces a population structure map from The Lancet 2018 paper 80
gwgundersen/dpcca Develops a method to learn shared latent structure between biomedical images and gene expression data 25
edwardraff/jsat A Java library providing a range of machine learning algorithms and tools for statistical analysis 789
ghislainv/riskmapjnr A tool to calculate risk of deforestation and forest degradation using the JNR methodology 24
rmcelreath/statrethinking_winter2019 A repository of statistical modeling materials and resources for an R course on Bayesian inference 2,018