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.
Part of the AI for Earth Land Cover Mapping project, this repository holds both the frontend web-application and backend server that make up our “Land Cover Mapping” tool.
WMG is a transformer-based RL agent that attends to a dynamic set of vectors representing observed and recurrent state.
TartanAir dataset: AirSim Simulation Dataset for Simultaneous Localization and Mapping theairlab.org/tartanair-dataset (opens in new tab)
Official PyTorch implementation of the paper Learning Texture Transformer Network for Image Super-Resolution accepted in CVPR 2020.
This repository contains information about the cross-lingual evaluation benchmark XGLUE, which is composed of 11 tasks spans 19 languages.
GitHub Publication Publication Publication Publication Publication
This repository contains the code and dataset for the following paper: Differentially Private Set Union with Applications to Vocabulary Generation
This repository contains a representative subset of the first-party DNN training workloads on Microsoft’s internal Philly clusters. The trace is a sanitized subset of the workload described in “Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN…
DeBERTa (Decoding-enhanced BERT with disentangled attention) improves the BERT and RoBERTa models using two novel techniques. The first is the disentangled attention mechanism, where each word is represented using two vectors that encode its content…
The VQA-Introspect dataset consists of 238K new perception questions which serve as sub questions corresponding to the set of perceptual tasks needed to effectively answer the complex reasoning questions in the Reasoning split of the…
