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.
Remote Lab
The XR Remote study toolkit is a toolkit for Unity that allows users to record and replay gameplay from the Unity editor window. The toolkit currently allows users to track the changes in Transform for…
Batch Effects Normalization (BEN)
This respository contains the code accompanying the paper “Incorporating knowledge of plates in batch normalization improves generalization of deep learning for microscopy images” by Alex Lin and Alex Lu.
NatGen – Pretrained Models
Pre-trained Generative Language models (e.g. PLBART, CodeT5, SPT-Code) for source code yielded strong results on several tasks in the past few years, including code generation and translation. These models have adopted varying pre-training objectives to…
AI for Industry Simulations
AI for Industry Simulations is a project for training large-scale surrogate models for solving partial differential equations (PDEs) with deep learning. We target large-scale three-dimensional applications as common in industrial applications such as reservoir simulation.…
Interactive Minecraft NPCS
This repository contains the code referred in the paper “Craft an Iron Sword: Dynamically Generating Interactive Game Characters by Prompting Large Language Models Tuned on Code”
FarmVibes.AI
With FarmVibes.AI, you can develop rich geospatial insights for agriculture and sustainability. Build models that fuse multiple geospatial and spatiotemporal datasets to obtain insights (e.g. estimate carbon footprint, understand growth rate, detect practices followed) that would…
Dense Gradient Tree
This repository houses the supporting code for the paper Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent. The Dense Gradient Tree (DGT) technique supports learning decision trees of a given height for…
Robust Confidence Sequences
This project contains example notebooks exhibiting confidence sequences that are robust, i.e., converge for observations with infinite variance. Robust Mean Demo: The basic technique for covering the running conditional mean in a nonstationary environment. Includes…