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Issues: microsoft/InnerEye-DeepLearning

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Issues list

Add test coverage for in-situ cross validation with multiple GPUs architecture Anything around possible extensions or re-structuring of code
#376 opened Jan 28, 2021 by ant0nsc updated Apr 9, 2021
Better diagnostics: Regression error plots feature parity Reach feature parity with code before Lightning move not urgent Not needed for current work reporting and diagnostics Improvements to diagnostics and reporting
#375 opened Jan 28, 2021 by ant0nsc updated Apr 9, 2021 Feature parity after Lightning refactoring
Re-enable temperature scaling feature parity Reach feature parity with code before Lightning move
#374 opened Jan 28, 2021 by ant0nsc updated Apr 9, 2021 Feature parity after Lightning refactoring
@ozan-oktay
Re-enable the mean teacher model feature parity Reach feature parity with code before Lightning move
#371 opened Jan 28, 2021 by ant0nsc updated Apr 9, 2021 Feature parity after Lightning refactoring
@ozan-oktay
Model comparision should report what datasets are used for comparision reporting and diagnostics Improvements to diagnostics and reporting
#359 opened Jan 13, 2021 by javier-alvarez updated Apr 9, 2021
Clean up the logic behind minimum image size and padding for segmentation models
#343 opened Dec 21, 2020 by ant0nsc updated Apr 9, 2021
Disentangle metrics reporting for ensemble runs reporting and diagnostics Improvements to diagnostics and reporting
#329 opened Nov 25, 2020 by ant0nsc updated Apr 9, 2021
Check if AzureML's compute target "local" works workflow Improvements to workflows (recovery, speed)
#349 opened Jan 4, 2021 by ant0nsc updated Apr 9, 2021
Can we reduce memory consumption by storing segmentation labels as class indices, not one-hot?
#338 opened Dec 10, 2020 by ant0nsc updated Apr 9, 2021
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