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 R2 Probabilistic Programming Tool is a research project within the Programming Languages and Tools group at Microsoft Research on probabilistic programming. Our goal is to build a user friendly and scalable probabilistic programming system…
Rural government maternal health workers in India are called Accredited Social Health Activists, or ASHAs. ASHA Assist is a tool designed to help ASHAs engage their clients in persuasive discussions about various topics related to…
A collection of 12,696 Tweet Ids representing 4,232 three-step conversational snippets extracted from Twitter logs. Each row in the dataset represents a single context-message-response triple that has been evaluated by crowdsourced annotators as scoring an…
Robust Distributed System Nucleus (rDSN)Â is a framework for quickly building robust distributed systems. It has a microkernel for pluggable components, including applications, distributed frameworks, devops tools, and local runtime/resource providers, enabling their independent development and…
Fast R-CNN (Region-based Convolutional Network) is a clean and fast framework for object detection. Compared to traditional R-CNN, and its accelerated version SPPnet, Fast R-CNN trains networks using a multi-task loss in a single training…
Prepose lowers the cost of developing new gesture recognizers by exposing a range of primitives to developers that can capture many different gestures.
Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine.
Network Navigator lets you explore node-link data by panning over and zooming into a force-directed node layout (which can be precomputed or animated live). From an initial overview of all nodes, you can use simple…
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,…
