Clara Train SDK is a domain optimized developer application framework that includes APIs for AI-Assisted Annotation, making any medical viewer AI capable and v4.1 enables a MONAI based training framework with pre-trained models to start AI development with techniques such as Transfer Learning, Federated Learning, and AutoML.

Clara Train has upgraded its underlying infrastructure from Tensorflow to MONAI. MONAI is an open-source, PyTorch-based framework that provides domain-optimized foundational capabilities for healthcare.

This repo contains Jupyter Notebooks to help you explore the features and capabilities of Clara Train, including AI-Assisted Annotation, AutoML, and Federated Learning.

If you're using Clara Train 4.1, you'll want to use the PyTorch folder structure. You'll find the README.md and Welcome.ipynb files in the PyTorch/Notebooks directory that will help you get started.

If you're still using Clara Train 3.1, we encourage you to upgrade to Clara Train 4.1. You can find information on converting your current Clara 3.1 MMAR's to Clara 4.0 compatible MMAR's on our docs.

If you're still interested in exploring Clara Train 3.1 using our old Jupyter Notebooks, you'll now find them under the Tensorflow-Deprecated folder. You'll find all of the instructs in the README.me file.