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

A toolkit for evaluating and monitoring AI models in clinical settings

Health services recommendation project

AI Engineering template repository using `uv` as python dependency/package manager.

An application to monitor clinical AI models

Efficient LLM inference on Slurm clusters using vLLM.

A toolkit for developing foundation models using Electronic Health Record (EHR) data.

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

A toolkit for research on multimodal representation learning

A streamlined reference manual for AI practitioners, students, and developers to quickly look up core concepts and implementations.