Research Tools: code, datasets, & models

This PyTorch package implements the Multi-Task Deep Neural Networks (MT-DNN) for Natural Language Understanding.

We introduce a new corpus of descriptions of Xbox avatars created by actual gamers. Each avatar is specified by 19 attributes, including clothing and body type, allowing for more than 10^20 possibilities. Using Amazon Mechanical…

Building a computer system to automatically solve math word problems written in natural language. SigmaDolphin is a project initiated in early 2013 at Microsoft Research Asia, with the primary goal of building a computer intelligent…

Microsoft TV White Spaces database enables secondary users the ability to use the TV White Spaces spectrum in order to provide for overall spectrum utilization. The design document outlines the technical implementation of the webservices…

Deep4Cast is a scalable machine learning package implemented in Python. It has a front-end API designed to be similar to scikit-learn, but is based on Keras. It was designed for medium to large size time…

This code supports the paper “Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision”, presented at EMNLP 2018.

Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One example of a ubiquitous real-world application where such models are desirable is resource-scarce devices…

Ambrosia is a programming language independent approach for authoring and deploying highly robust distributed applications. Ambrosia dramatically lowers development and deployment costs and time to market by automatically providing recovery and high availability.

This download contains the processed datasets used in the AAAI’19 paper ABC: Efficient Selection of Machine Learning Configuration on Large Dataset. A machine learning configuration refers to a combination of preprocessor, learner, and hyperparameters. Given…

Microsoft Simple Encrypted Arithmetic Library (Microsoft SEAL) is an easy-to-use homomorphic encryption library developed by researchers in the Cryptography Research group at Microsoft Research. SEAL is written in modern standard C++ and has no external…