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.
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.
Vision Longformer for Object Detection
This project provides the source code for the object detection part of vision longformer paper.
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…
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.
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…
HAX Playbook
The Human-AI eXperience (HAX) Playbook (opens in new tab) 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…
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…
Strategically Efficient RL
This project implements exploration mechanisms for reinforcement learning that are specifically designed for non-cooperative multi-agent settings. Exploration mechanisms for single-agent RL (e.g. curiosity) are ill-suited to non-cooperative multi-agent settings, as they fail to account for…