This is the repository for paper “Causal integration of chemical structures in self-supervised learning improves representations of microscopy images for morphological profiling”. Learning effective representations of cells in microscopy images can fuel many applications. Here, we release code for a…
ProtNote is a multimodal deep learning model that leverages free-form text to enable both supervised and zero-shot protein function prediction.
RadFact is a framework for the evaluation of model-generated radiology reports given a ground-truth report, with or without grounding. Leveraging the logical inference capabilities of large language models, RadFact is not a single number but a suite of metrics, capturing…
This repository contains code and data for “Accurate Measures of Vaccination and Concerns of Vaccine Holdouts from Web Search Logs” (2023) by Serina Chang, Adam Fourney, and Eric Horvitz.
HI-ML toolbox for deep learning for medical imaging and Azure integration. The Microsoft Health Intelligence Machine Learning Toolbox aims at providing low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It helps to simplify and streamline…
Yardl is a simple schema language and command-line tool that generates domain types and serialization code. This is a tool for generating code based on a schema for raw instrument data.
This data set contains accelerometer and gyroscope recordings from over 200 participants performing various gym exercises. This data set is described in more detail in the associated manuscript: Morris, D., Saponas, T. S., Guillory, A., & Kelner, I. (2014, April).…
