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Research Tools: code, datasets, & models

Discover an index of datasets, SDKs, APIs and open-source tools developed by Microsoft researchers and shared with the global academic community below. These experimental technologies—available through Azure AI Foundry Labs (opens in new tab)—offer a glimpse into the future of AI innovation.

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Published Date

Dataset Source Code

oZKS

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

GitHub Publication

Dataset Source Code

ShowWhy

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)…

GitHub Video Video Project Project

Dataset Source Code

Landcover Orinoquia

AI for Earth project, in collaboration with the Wildlife Conservation Society Colombia (WCS Colombia) to create up-to-date land cover maps of the Orinoquía region in Colombia. We used a land use and land cover (LULC) map…

GitHub Project

Dataset Source Code

UN Knowledge Extraction

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

GitHub

Dataset Source Code

PrivGan

Protecting GANs from membership inference attacks at low cost.

GitHub

Dataset Source Code

Leprosy Skin Lesion AI Analysis

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…

GitHub

Dataset Source Code

Building Damage Assessment CNN Siamese

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…

GitHub Project Project

Dataset Source Code

Bird Acoustics RCNN

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

GitHub Project

Dataset Source Code

X-ray Feature Disentanglement

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

GitHub

Dataset Source Code

SuperSolver

SuperSolver is an algorithm written in Sage/Python that solves the general supersingular isogeny problem using the Delfs-Galbraith algorithm. It accompanies the paper “SuperSolver: accelerating the Delfs-Galbraith algorithm with fast subfield root detection”, by Maria Corte-Real…

GitHub