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.
Microsoft KaggleDBQA is a cross-domain and complex evaluation dataset of real Web databases, with domain-specific data types, original formatting, and unrestricted questions. It also provides database documentation, which contain rich in-domain knowledge. The nature of…
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data. Finn is a standardized modeling framework…
DS++ benchmark is designed for evaluating both classical and workload-driven database systems on modern decision support workloads. DS++ is adapted from the widely-used industrial standard TPC-DS benchmark. It enhances the TPC-DS benchmark with complex data…
This is a research project in exploring self-supervised learning (SSL) for computer vision. It aims to learn general-purpose image features from raw pixels without relying on manual supervisions, and the learned networks serve as the…
Interactive Machine Translation (INMT) interface assists human translators with on-the-fly hints and suggestions. This makes the end-to-end translation process faster, more efficient, and creates high-quality translations. We augment the OpenNMT backend with a mechanism to…
This is the official code repository to accompany the paper CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. Here we provide Python code for generating and logging scenarios using the simulation environment as…
This library is a collection of GitHub repositories containing software applications, data sets, and hardware reference designs to support research and education in the fields of service-robotics. The term service-robotics refers to the expectation that the robots can…
Synthesized Collective Communication Library (SCCL) is an algorithm synthesizer for GPU communication in machine learning workloads. SCCL-Runtime, which is what we are seeking the release approval for, takes a synthesized algorithm from SCCL and runs…
