A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings

Efficient LLM inference on Slurm clusters using vLLM.

Toolkit for evaluating and monitoring AI models in clinical settings

An application to monitor clinical AI models

A toolkit for research on multimodal representation learning

Library for handling atomistic graph datasets focusing on transformer-based implementations, with utilities for training various models, experimenting with different pre-training tasks, and a suite of pre-trained models with huggingface integrations

An application to predict risk of delirium at time of admission

An application to predict delirium prevalence rates at hospitals