Research Tools: code, datasets, & models

This repository contains code for a series of research projects on Automated Reinforcement Learning (AutoRL).

The Damage Assessment Visualizer leverages satellite imagery from a disaster region to visualize conditions of building and structures before and after a disaster. It includes a visual layer on top of the satellite images which…

This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

MacTok is a research prototype for a one-time anonymous token scheme based on algebraic MACs. A Rust library for implementing anonymous one-time tokens from algebraic MACs, it embeds a private bit by the server to…

Welcome to the Microsoft Membership Inference Competition (MICO)! In this competition, you will evaluate the effectiveness of differentially private model training as a mitigation against white-box membership inference attacks.

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…

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.

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 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.…