MSR Africa Seminar Series
Machine Learning Theory
Our work in machine learning theory ranges from modeling to mathematical analysis of algorithms to experimental probing. The diverse set of topics include clustering, optimization, unsupervised learning, algebraic methods, fairness, causality, and deep learning.
Carbon Insight
A platform to display carbon neutralization information for researchers, decision-makers, and other participants in the community. Carbon Insight (opens in new tab) is a platform aiming to display the carbon neutralization roadmap for researchers, decision-makers,…
Poultry Barn Mapping
A repository for training models from high-resolution aerial imagery and a dataset of predicted poultry barns across the United States.
Solar Farms Mapping
The Solar Farms Mapping release is an artificial intelligence dataset for solar energy locations in India – a spatially explicit machine learning model to map utility-scale solar projects across India using freely available satellite imagery.
FLUTE
FLUTE (Federated Learning Utilities for Testing and Experimentation) is a platform for conducting high-performance federated learning simulations.