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.
This self-hosted service developed for Azure, including its orchestration engine and security tools (including MSR’s RESTler), enables developers to embed security tooling into their CI/CD workflows.
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RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.
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Microsoft.Recognizers.Text provides robust recognition and resolution of entities like numbers, units, and date/time; expressed in multiple languages. Full support for Chinese, English, French, Spanish, Portuguese, German, Italian, Turkish, and Hindi. Partial support for Dutch, Japanese,…
The iBox (Internet in a Box) project is an ongoing effort at Microsoft Research India on enabling data-informed network simulation. Currently, we use data in the form of per-packet traces gathered at senders and receivers…
This is a ROS wrapper for the Azure Spatial Anchors Linux SDK, allowing robots (and other devices equipped with a vision-based sensors and a pose estimation system) to create and query Azure Spatial Anchors, allowing…
Implementation of “Debiasing Item-to-Item Recommendations With Small Annotated Datasets” (RecSys ’20)
rankerEval – a Python library for evaluating rankings. A fast numpy-based implementation of ranking metrics for information retrieval and recommendation.
Archai is a platform for Neural Network Search (NAS) that allow you to generate efficient deep networks for your applications. Archai aspires to accelerate NAS research by enabling easy mix and match between different techniques…
