Research Tools: code, datasets, & models

A repository for training models from high-resolution aerial imagery and a dataset of predicted poultry barns across the United States.

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 (Federated Learning Utilities for Testing and Experimentation) is a platform for conducting high-performance federated learning simulations.

This project provides code to train semantic segmentation models for pulmonary lesions segmentation from Computer Tomography (CT) scans. Furthermore, we present a multitask model for joint segmentation of different classes of pulmonary lesions present in…

FastSeq provides efficient implementation of popular sequence models (e.g. Bart, ProphetNet) for text generation, summarization, translation tasks etc. It automatically optimizes inference speed based on popular NLP toolkits (e.g. FairSeq and HuggingFace-Transformers) without accuracy loss.

FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation benchmark which aims to drive few-shot…

oZKS (Ordered Zero-Knowledge Set) is a library that provides an implementation of an Ordered (and Append Only) Zero-Knowledge Set.

AI for Earth project, in collaboration with the Wildlife Conservation Society Colombia (WCS Colombia (opens in new tab)) to create up-to-date land cover maps of the Orinoquía (opens in new tab) region in Colombia. We used…

Pilot Microsoft Cognitive Services to unlock the strategic value of UN unstructured content by building on AI and semantic technologies.

Protecting GANs from membership inference attacks at low cost.