Development Data Partnership's Projects
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
analytics_spatial_coverage_scl
Get jumpstarted with aWhere's API platforms using these code samples. More languages and samples will be coming, feel free to fork and contribute!
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
A curated list of derivative works
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Use of Waze data to better understand mobility issues in Romania
Commuting zones are geographic areas where people live and work and are useful for understanding local economies, as well as how they differ from traditional boundaries. These zones are a set of boundary shapes built using aggregated estimates of home and work locations. Data used to build commuting zones is aggregated and de-identified.
Partnership-curated notebooks to support COVID-19 response
Understanding societal responses to policies undertaken during emergencies: Lessons from COVID-19's Second Wave in Maharashtra
Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world.
Replication Package for: The Evolution of the COVID-19 Pandemic Through the Lens of Google Seaches
This repository contains the Python implementation of the agent-based model used to model the spread of COVID-19.
Overture Maps Data
:pencil: Projects & News
Development Research in Practice: The DIME Analytics Data Handbook. By Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels, and Maria Jones
This repository contains the code for an agent-based model used for COVID-19 in Sub-Saharan Africa. The original code was written in Python by Aivin Solatorio and is since being developed in Java. Complimentary risk modelling has been conducted in R as an intermediate product and is also part of this repo
Tutorials for getting the most out of Twitter data.
Monitoring Near-Time Changes in Urban Space Usage after Climate Shocks ECA Urban Resilience
Egypt Economic Monitor