Toolkit for evaluating and monitoring AI models in clinical settings

A tool to query relational EHR databases

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

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

LLM finetuning in resource-constrained environments.

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

AI Engineering template repo

CyclOps for clinical ML evaluation & monitoring workshop