Difference between revisions of "Clara"
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See the [[{{PAGENAME}}_Configuration]] page for {{#var: app}} configuration details. | See the [[{{PAGENAME}}_Configuration]] page for {{#var: app}} configuration details. | ||
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{{#if: {{#var: exe}}|==Additional Information== | {{#if: {{#var: exe}}|==Additional Information== | ||
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Revision as of 16:34, 29 June 2021
Description
NVIDIA Clara Train SDK for Medical Imaging
Clara Train SDK is a domain optimized developer application framework that includes APIs for AI-Assisted Annotation, making any medical viewer AI capable and a MONAI and PyTorch based training framework with pre-trained models to kick start AI development with techniques like Transfer Learning, Federated Learning and AutoML.
AI-Assisted Annotation APIs and an Annotation server can be easily integrated into any Medical Viewer. The training framework includes decentralized learning techniques like Federated Learning and Transfer Learning. It also includes techniques like AutoML for iterative experimentation. The SDK provides pre-trained models as Model Applications packaged as MMARS (Medical Model ARchive) to users providing an intuitive config based environment for data scientists and researchers to get kick-started with AI Development.
Environment Modules
Run module spider clara
to find out what environment modules are available for this application.
System Variables
- HPC_CLARA_DIR - installation directory
<--Run-->