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.
Prototype IPv6 stack for Windows NT and Windows 2000, for research, educational, and testing purposes only.
This data is being released for research purposes only. The DESM Word Embeddings dataset may include terms that some may consider offensive, indecent or otherwise objectionable. Microsoft has not reviewed or modified the content of…
This data set identifies 38M tweets collected for the analysis of social media messages related to the 2012 U.S. Presidential election. The data set provides tweet IDs for tweets containing the words “obama”, “romney”, or…
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC (opens in new tab)) and community contributors.
Microsoft Hyperlapse is a new technology that creates smooth and stabilized time lapses from first-person videos. Last published: June 10, 2016.
TurkServer is a package for building interactive web-based user experiments on the Meteor (opens in new tab) web app framework. It uses Meteor’s powerful publish/subscribe data model and reactivity to make building real-time user interfaces less error-prone,…
The Microsoft Research JavaScript Cryptography Library has been developed for use with cloud services in an HTML5 compliant and forward-looking manner. Last published: July 13, 2018
Demonstration code of the project presented at SIGGRAPH Asia 2015: a fast automatic technique for converting a short (5-second) input video to a seamless loop that can play forever without spatial or temporal artifacts. Last…
