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.
StereoMatcher is an implementation of some commonly used two-frame stereo matching algorithms. It also contains code to evaluate the quality of a computed depth map relative to a ground truth image.
Fran is a Haskell library (or “embedded language”) for interactive animations with 2D and 3D graphics and sound. Last published: March 16, 2016.
The WinMine Toolkit contains a set of tools that allow you to build statistical models from data. Last published: February 19, 2016.
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.