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 goal of this project is to use audio recordings and corresponding annotations to build an automatic classifier for calls from four different species of blue whales, and to estimate the total number of calls…
Maximal Update Parametrization (μP) and Hyperparameter Transfer (μTransfer), in association with the paper: Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
This repository contains the PyTorch implementation of the COMPASS model proposed in our paper: COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. COMPASS aims to build general purpose representations for autonomous systems from multimodal observations. Given…
To examine the cognitive processes of remembering and imagining and their traces in language, we introduce Hippocorpus, a dataset of 6,854 English diary-like short stories about recalled and imagined events. Using a crowdsourcing framework, we…
A platform to display the carbon neutralization information for researchers, decision-makers, and other participants in the community.
A repository for training models from high-resolution aerial imagery and a dataset of predicted poultry barns across the United States.
The Solar Farms Mapping release is an artificial intelligence dataset for solar energy locations in India – a spatially explicit machine learning model to map utility-scale solar projects across India using freely available satellite imagery.
FLUTE (Federated Learning Utilities for Testing and Experimentation) is a platform for conducting high-performance federated learning simulations.
