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.
SIGMA: Large-Scale and Parallel Machine-Learning Tool Kit
The goal of SIGMA is to provide a group of parallel machine-learning algorithms that can meet the requirements of research work and applications typically with large-scale data or features. The tool kit includes more than…
MSR Action Data Set II
Microsoft Research Action Data Set II is an extended version of the Microsoft Research Action Data Set. There are five parts in total. It consists of 54 video sequences recorded in a crowded environment. Each…
Bulk-Synchronous GPU Programming Compiler
This is a compiler for the Bulk-Synchronous GPU Programming (BSGP) language. BSGP is a new language for general-purpose computation on a graphics processing unit (GPU). BSGP programs look similar to sequential C programs, and programmers…
ORTC Sample Code
We provide sample code implementing the algorithm described in our 1999 paper “Optimal Compression of IP Routing Tables.” This is a single C file: no binary, installation kit, nor documentation.