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.
SuperSolver is an algorithm written in Sage/Python that solves the general supersingular isogeny problem using the Delfs-Galbraith algorithm. It accompanies the paper “SuperSolver: accelerating the Delfs-Galbraith algorithm with fast subfield root detection”, by Maria Corte-Real…
A Python package for generating concise, high-quality summaries of a probability distribution. GoodPoints is a collection of tools for compressing a distribution more effectively than independent sampling.
An implementation of the temporal cluster matching method for detecting change in structure footprints from time series of remotely sensed imagery.
The Advocacy Platform is a cloud solution to automate the acquisition of case decisions, court hearings and location information from the EOIR hotline. Additionally, this solution helps NGOs working with Asylum seeker families at risk…
TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data. The goal of this library is to make it simple: for machine learning experts to use geospatial…
Public release of sample videos to show the performance of a localization model (DIABLo). The model itself (or any related training or test data) will NOT be part of this release. We will only release…
Similar to the ID 3397 and ID 3860, the broad goal for this project is to research and develop Neuro-Symbolic systems for Natural Language Inferencing (NLI) to leverage the “correctness” guarantees and interpretability of symbolic…
HittER generates embeddings for large-scale knowledge graphs and performs link prediction using a hierarchical Transformer model. It appeared in EMNLP 2021.
Codebase for generative modeling of protein sequence and structure, including code for CNNs and GNNs and custom data handling code.
This repo contains the data and source code for baseline models in the NeurIPS 2021 benchmark paper for Constrained Language Understanding Evaluation Standard (CLUES) under MIT License.
