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Research Tools: code, datasets, & models

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.

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Published Date

Dataset Source Code

Unicoder

Unicoder model for understanding and generation.

GitHub Project Publication

Dataset Source Code

ProphetNet

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training

GitHub Publication Publication Publication

Dataset Source Code

GLGE

General Language Generation Evaluation (GLGE) benchmark is a new multi-task benchmark for evaluating the generalization capabilities of NLG across eight language generation tasks.

GitHub Publication

Dataset Source Code

CodeBERT

GitHub Publication Publication

Dataset Source Code

Vision Longformer for Object Detection

This project provides the source code for the object detection part of vision longformer paper.

GitHub Publication

Dataset Source Code

Qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to…

GitHub Video Project Project Publication Publication

Dataset Source Code

Multi-Agent Resource Optimization (MARO)

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

GitHub Video Project Publication Publication

Dataset Source Code

DoWhy: A library for causal inference

As computing systems are more frequently and more actively intervening in societally critical domains such as healthcare, education and governance, it is critical to correctly predict and understand the causal effects of these interventions. Without…

GitHub Video Video Video Project Project Project Publication

Dataset Source Code

HAX Playbook

The Human-AI eXperience (HAX) Playbook is an interactive tool for generating interaction scenarios to test when designing user-facing AI systems. The Playbook helps you test AI interaction designs before building out a fully functional system.…

GitHub Video Project

Dataset Source Code

Clustered Nanopore Reads (CNR) Dataset

DNA storage aims to store information in the form of DNA sequences. This is a research project in Microsoft Research Redmond. This repo contains a dataset of real DNA sequences which can be used for…

GitHub Publication