Research Tools: code, datasets, & models

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.

ShowWhy is an interactive application that guides users through the process of answering a causal question using observational data. In use, it has the potential to empower domain experts (who may not be data scientists)…

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.

This project aims to predict the probability of leprosy using skin lesion images and clinical data (as compared to the diagnosis of dermatologists). This model is provided for research and development use only. The model…

A Microsoft AI for Humanitarian Action study in collaboration with the NLRC 510 global initiative. In this study, we leverage high-resolution satellite imagery to conduct building footprint segmentation and train a classifier to assign each…

A deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species

An implementation of feature disentanglement/domain adaptation methods for training deep learning models from x-ray imagery.