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.
This data release is part of the MSR FastRDFStore Package (https://github.com/Microsoft/FastRDFStore/) and includes the last dump of Freebase, as well as the processed version ready to load directly into FastRDFStore.
C# library that implements algorithms for the numerical solution of ordinary differential equations. The library incorporates .NET desktop and Silverlight builds.
Microsoft Hyperlapse Mobile creates smooth and stabilized time lapses from first-person videos using a Windows Phone or Android device.
With this new, intelligent camera app for your iphone, you can enjoy life’s moments instead of struggling to capture them.
The Microsoft Cognitive Toolkit empowers you to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms you…
Recent work in semantic parsing for question answering has focused on long and complicated questions, many of which would seem unnatural if asked in a normal conversation between two humans. In an effort to explore…
We introduce this dataset in order to support the novel task of Visual Question Generation (VQG), where, given an image, the system should ‘ask a natural and engaging question’. This dataset can be used to…
CP drops only the packet payload instead of the entire packet during buffer overload and uses a SACK-like precise ACK (PACK) technique to accurately inform senders of lost packets. The paper appears on NSDI 2014.
This dataset includes a database of regulation relationships among genes and corresponding textual mentions of pairs of genes in PubMed article abstracts. It was derived from the NCI PID Pathway Interaction Database, and the textual…
This is a public release of the dataset corresponding the paper “Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems” that appeared in EMNLP 2016. This set only contains the implicit supervised examples.…
