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Add self-supervised learning capabilities to InnerEye #440
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…aModule for all datasets, make CIFAR follow the same path as CXR, add NIH support
…DeepLearning into melanibe/ssl � Conflicts: � InnerEye/ML/run_ml.py � InnerEye/ML/runner.py � Tests/ML/configs/lightning_test_containers.py � Tests/ML/test_lightning_containers.py
Shruthi42
reviewed
May 5, 2021
added 9 commits
May 6, 2021 09:14
This reverts commit e348325.
added 2 commits
May 7, 2021 11:48
Shruthi42
previously approved these changes
May 7, 2021
Shruthi42
approved these changes
May 7, 2021
ozan-oktay
approved these changes
May 7, 2021
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This PR adds support for training of self-supervised models in InnerEye. The implementation is based on the new bring-your-own model framework. We provide two examples to get started with training of SSL models: CIFAR10 SSL training and Chest-Xrays based models. See SSL doc for more details.