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.
Dataset for Inferring Missing Entity Type Instances for Knowledge Base Completion
This is a dataset that can be used for training and evaluating knowledge base completion approaches for inferring missing entity type instances. We construct our training snapshot by taking the Freebase snapshot on 3rd September,…
WorldWide Telescope OSS
AAS WorldWide Telescope is a tool for showcasing astronomical data and knowledge. Launch the Web Client! It’s not a physical telescope — it’s a suite of free and open source software and data sets that…
MSR Demosaicing Dataset
The Microsoft Research Cambridge demosaicing data set consists of set of raw images, and their downscaled versions which can be used for learning and evaluating demosaicing (and possibly other tasks like denoising), both in linear-space…
Microsoft Automatic Graph Layout (MSAGL)
MSAGL is a .NET library and tool for graph layout and viewing.
Microsoft Touch Develop
Touch Develop is a touch-friendly, cross-platform, mobile-first app creation environment.
Probabilistic Z3
Probabilistic Z3 is a solver for the bounded reachability problem that uses the symbolic approximation technique described in the following paper: Markus N. Rabe, Christoph M. Wintersteiger, Hillel Kugler, Boyan Yordanov, and Youssef Hamadi, Symbolic…
RIN Studio Authoring Tool
Rich Interactive Narratives (RIN) seamlessly combines cinematic experiences with user exploration to create rich interactive and immersive narratives. RIN Studio is an authoring tool for creating Rich Interactive Narratives without coding by providing an interface…
Sparse Reflections Analysis: Sensor Data from ECCV 2014 Paper
This file contains the raw sensor data used the ECCV 2014 paper, “SRA: Fast Removal of General Multipath for ToF Sensors” by D. Freedman, Y. Smolin, E. Krupka, I. Leichter, and M. Schmidt. This includes…