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.
The schema and queries of the TPC-H (formerly TPC-D) benchmark are widely used by people in the database community. One of the requirements of the benchmark is that data for columns in the database are…
Table Sorter lets you create stacked table columns to explore how different combinations and weightings of numerical column values result in different rank orderings of table records. Column headings show the distribution of column values…
This is an experimental programming language for heterogeneous systems based on multi-stage programming.
An image processing language implemented entirely in C# using the new Vector SIMD class. Generates multithreaded and SIMD optimized code from a high level language input. Has primitives for per pixel and convolution operations and…
Machine learning tools for modeling viral adaptation to host immune responses.
GitHub Publication Publication Publication Publication Publication Publication Publication Publication Publication Publication Publication
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.
