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Working on preprocess and predict container
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Finished manual tutorial
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Working on setting up automatic weight downloading
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Working on tutorials
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Small changes to BIDS scripts
Esten Leonardsen
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Finished first version of scripts necessary to finetune models
Esten Leonardsen
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Finished functionality for predicting via python
Esten Leonardsen
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Working on docker containers
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Working on preprocessing docker
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Cleaned repo for new setup
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Move the script to predict into a new module cli within the package
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Updated docker containers, small linting fixes, fixed bug with weight repository and directory
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Fixed bug in brain age container
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Finished READMEs for now
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Regenerated READMEs
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Added unit tests for the weight repository
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Fixed main README
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Added notebook and script for explaining predictions
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Created first docker container
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Finished models, pre/postprocessing and example from paper 1
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Clean start for new version
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Merge branch 'main' into dev
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Added script for generating setup.py
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Added contrast augmentation
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Bugfixes in augmentations
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Minor bugfixes
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Added crop augmentation
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Added more augmentations
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Minor bugfixes in high-level scripts
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Added a script for simple validation
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Bugfixes
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Added parameterized loss and support for multiple datasets to learning rate sweep
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Added noise to augmenter
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Added multiple augmentations and started on performance tests
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Started working on additional augmentation functionality
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Added code for nested crossvalidation
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Finished top level script for crossvalidation and implemented tf dataset in fit_model
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Refactored and added some new top-level scripts
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Finished VGG11, added sliced metrics
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Finished VGG11 code, added script for learning rate sweep
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Added functionality which is necessary for training domain-adaptive models
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Minor changes to domain-adaptive models
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Finished infrastructure for training domain-adaptive SFCNs
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Changed setup for encoding variables in multilabel dataset, changed naming in binary labels
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Fixed TF distribution strategy to work with tf 2.7
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Working on fit model script
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Bug in fit_model
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Finished script for training model
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Worked on scripts towards fitting models
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Finished script for configuring dataset folds
