Toolkit for evaluating and monitoring AI models in clinical settings

Working with Jobboard API to perform actions needed by Vector Institute

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

A user toolkit for analyzing and interfacing with Large Language Models (LLMs)

A user toolkit for analyzing and interfacing with Large Language Models (LLMs)

A repository to hold our work around prompt engineering in large language models.

An application to monitor clinical AI models

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

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