Linux / amd64
Clara Train brings ease of use and a simple CLI-based interface, allowing users to quickly get started for annotating, training, and adapting AI models.
It includes capabilities for AI-Assisted Annotation, making any medical viewer AI capable. Clara Train also provides pre-trained models to kick start AI development with techniques like Transfer Learning, Federated Learning, and AutoML.
The pre-trained models are provided as Model Applications, packaged as MMARs (Medical Model Archives), to users, providing an intuitive config based environment for data scientists and researchers to get kick-started with AI Development.
Clara Train SDK documentation can be accessed here.
To learn more about how to run Clara Train on a cloud service provider, refer to the documentation here.
With 4.1, MONAI Label now includes continuous learning allowing end users to annotate and trigger a training loop from client viewer.
The MMAR API is a new feature in Clara Train 4.1 to allow for creating an MMAR from python code. For more information, see the documentation section here.
Clara Train brings the latest and greatest features from MONAI - like Vision Transformers for 3D Imaging; self supervised learning and AutoML for network architecture search. See more information about these features here.
This version also includes a digital pathology pipeline for a fully convolutional classification network that works with whole-slide images and performs optimized data loading using cuCIM , which can tile large datasets on-demand and process them through a CUDA-enabled pipeline.
Below are the latest pre-trained models being released by NVIDIA. Note the 4.1 versions of these models are only compatible with the 4.1 version of the Clara Train SDK container.
End User License Agreement is included with the product. Licenses are also available along with the model application zip file. By pulling and using the Clara Train SDK container and downloading models, you accept the terms and conditions of these licenses.
Use the NVIDIA Devtalk forum for questions regarding this Software