Research Tools: code, datasets, & models - Microsoft Research

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.
Showing 1 - 10 of 1085 results
Probabilistic bias correction (PBC) is a machine learning framework for improving subseasonal forecasts from dynamical, AI, or hybrid prediction systems. Given a raw ensemble of deterministic forecasts, PBC outputs learning-enhanced probabilities designed to correct systematic…
We propose SmartKC, a low-cost, smartphone-based keratoconus diagnosis system comprising of a 3D-printed placido’s disc attachment, an LED light strip, and an intelligent smartphone app to capture the reflection of the placido rings on the…
GitHub Publication Publication
BYOeB (Build Your Own Expert Bot) is a platform designed to build expert-in-the-loop WhatsApp-based chatbots. It enables developers to build chatbots that leverages human expertise to verify and edit responses. It is particularly valuable in…
GridSFM is an open-source framework for neural surrogate modeling of AC Optimal Power Flow (AC-OPF) on realistic approximations of the US power grids, derived exclusively from open data.
This repository contains the source code, plotting notebooks, and training data for the paper “Mapping the combinatorial coding between olfactory receptors and perception with deep learning”. This repository is actively in development, and we will…
Skala is a neural network-based exchange-correlation functional for density functional theory (DFT), developed by Microsoft Research AI for Science. It leverages deep learning to predict exchange-correlation energies from electron density features, achieving chemical accuracy for…
A Verifiable Random Function (VRF) is a cryptographic public-key primitive that, from a secret key and a given input, produces a unique pseudorandom output, along with a proof that the output was correctly computed.Only the…
A unified framework for building and evaluating safe multi-agent systems SafeAgents provides a simple, framework-agnostic API for creating multi-agent systems with built-in safety evaluation, attack detection, and support for multiple agentic frameworks (Autogen, LangGraph, OpenAI…
BusyBox is a physical 3D-printable device for benchmarking affordance generalization in robot foundation models. It features Please check out our website (opens in new tab) for more details. For fully building a instrumented BusyBox capable…