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Dime Analytics R Training
Dissemination of harmonization code and data for SDI Health surveys
Replication files for Water When It Counts: Reducing Scarcity through Irrigation Monitoring in Central Mozambique by Paul Christian, Florence Kondylis, Valerie Mueller, Astrid Zwager and Tobias Siegfried
Stata Commands for Data Management and Analysis
Stata commands designed for Impact Evaluations in particular, but also data work in general
Sample code for impact evaluation and survey
A comparative assessment of machine learning classification algorithms applied to poverty prediction
Multivariate Imputation by Chained Equations
DIME's LaTeX templates and LaTeX exercises teaching anyone new to LaTeX how to use LaTeX and how to use DIME's templates
Replication code for the World Bank Atlas of Sustainable Development Goals 2018
Several R packages for World Bank-standard visualisations, building on ggplot2
This repository contains scripts about the Listening to Tajikistan project. Check our Wiki page for more details.
This is a repository maintained by DIME and containing example graphs on how to explore data sets and display results of Impact Evaluations using Stata. For information on how to contribute to the library and download codes and data sets, click on the link to GitHub below.
This repository contains all the program codes developed in the "Distributional Impact Analysis: Toolkit and Illustrations of Impacts Beyond the Average Treatment Effect" by Guadalupe Bedoya (World Bank), Luca Bittarello (Northwestern University), Jonathan Davis (University of Chicago), and Nikolas Mittag (CERGE-EI).
Computer vision application over satellite RGB tiles for agricultural land detection
Machine Learning for Development: A method to Learn and Identify Earth Features from Satellite Images
NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-world. Ask better questions. Get better results. Faster. Automated.