Research
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.
EconML is a Python package for estimating heterogeneous treatment effects from observational data via machine learning. This package was designed and built as part of the ALICE project at Microsoft Research with the goal to…
FHIR Server for Azure is an open-source implementation of the emerging HL7 Fast Healthcare Interoperability Resources (FHIR) specification designed for the Microsoft cloud. The FHIR specification defines how clinical health data can be made interoperable across systems,…
A phonetic matching library. Includes text utilities to do string comparisons on phonemes (the sound of the string), as opposed to characters.
Robust, Resilient, Recoverable Internet of Things (RIoT), from Microsoft Research, is an architecture for providing foundational trust services to computing devices. Device Identity Composition Engine (DICE) is an industry hardware/firmware standard that is the foundation…
Deep Feature Reshuffle is a technique to using reshuffling deep features of style image for arbitrary style transfer. It connects both global and local style constrain respectively used by most parametric and non-parametric neural style…
These samples demonstrate the use of the Quantum Development Kit for a variety of different quantum computing tasks. Most samples are provided as a Visual Studio 2017 C# or F# project under the QsharpSamples.sln solution.
Gen Encoder is a deep learning model that generically represents (embeds) search queries and questions based on their user intents. It leverages large scale user interaction data in Bing to learn this state-of-the-art intent-oriented representation.…