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Deprecated mmar (Project-MONAI#1477)
Deprecated mmar, now consider the latest model zoo bundles https://github.com/Project-MONAI/model-zoo/tree/dev/models, main use cases: https://github.com/Project-MONAI/tutorials/tree/main/model_zoo. ### Checks <!--- Put an `x` in all the boxes that apply, and remove the not applicable items --> - [ ] Avoid including large-size files in the PR. - [ ] Clean up long text outputs from code cells in the notebook. - [ ] For security purposes, please check the contents and remove any sensitive info such as user names and private key. - [ ] Ensure (1) hyperlinks and markdown anchors are working (2) use relative paths for tutorial repo files (3) put figure and graphs in the `./figure` folder - [ ] Notebook runs automatically `./runner.sh -t <path to .ipynb file>` Signed-off-by: KumoLiu <[email protected]>
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README.md

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@@ -283,8 +283,6 @@ This notebook demonstrates how the three libraries from the official PyTorch Eco
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This tutorial uses the MedNIST scan (or alternatively the MNIST) dataset to demonstrate MONAI's variational autoencoder class.
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##### [interpretability](./modules/interpretability)
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Tutorials in this folder demonstrate model visualisation and interpretability features of MONAI. Currently, it consists of class activation mapping and occlusion sensitivity for 3D classification model visualisations and analysis.
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##### [Transfer learning with MMAR](./modules/transfer_mmar.ipynb)
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This tutorial demonstrates a transfer learning pipeline from a pretrained model in [Clara Train's Medical Model Archive format](https://docs.nvidia.com/clara/clara-train-sdk/pt/mmar.html). The notebook also shows the use of LMDB-based dataset.
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##### [Transform visualization](./modules/transform_visualization.ipynb)
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This tutorial shows several visualization approaches for 3D image during transform augmentation.

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