This repository has been archived by the owner on Mar 21, 2024. It is now read-only.

Commits

Commits on Apr 19, 2021

Enable Bring-your-own-Lightning-model (#417 )
ant0nsc
authoredApr 19, 2021
Add cross-validation report for classification (#405 )
dccastro
authoredApr 19, 2021

Commits on Apr 16, 2021

Commits on Apr 13, 2021

Update dicom-rt converter (#430 )
javier-alvarez
authoredApr 13, 2021

Commits on Apr 7, 2021

Speed up dicom loading by factor 30x (#427 )
melanibe
authoredApr 7, 2021

Commits on Mar 29, 2021

Move basic PR checks like Flake8, Mypy and HelloWorld to Github actions (#426 )
ant0nsc
authoredMar 29, 2021

Commits on Mar 26, 2021

Added possibility to set num_downsampling_paths for Unet as part of model configuration (#425 )
kh296
authoredMar 26, 2021

Commits on Mar 19, 2021

Support Multilabel classification models with png files (#391 )

authoredMar 19, 2021

Commits on Mar 18, 2021

Clarified storage creation steps and fixed small typos (#422 )
stevehaigh
authoredMar 18, 2021

Commits on Mar 16, 2021

Added custom name of dataset csv field (#412 )

kh296
and
ant0nsc
authoredMar 16, 2021

Commits on Mar 15, 2021

Github action to check changelog should return non-zero exit status on failure (#418 )
Shruthi42
authoredMar 15, 2021
Upgrade to Pytorch 1.8 (#411 )
ant0nsc
authoredMar 15, 2021

Commits on Mar 12, 2021

Add a Github action to check changelog (#416 )
ant0nsc
authoredMar 12, 2021
Fix bug in the SynchronizeWithADO workflow (#415 )
ant0nsc
authoredMar 12, 2021

Commits on Mar 11, 2021

Synchronize Issues with Azure DevOps (#414 )
ant0nsc
authoredMar 11, 2021

Commits on Feb 26, 2021

Additional parameter for the zip file name when scoring (#407 )
JonathanTripp
authoredFeb 26, 2021

Commits on Feb 24, 2021

Replace binary_cross_entropy with binary_cross_entropy_with_logits (#402 )
JacopoTeneggi
authoredFeb 24, 2021

Commits on Feb 22, 2021

Change inference to take DICOM input and produce DICOM-RT output for segmentation models (#366 )
javier-alvarez
authoredFeb 22, 2021

Commits on Feb 18, 2021

Fix issues with GPU utilization logging (#400 )
ant0nsc
authoredFeb 18, 2021

Commits on Feb 15, 2021

docu update (#399 )
ant0nsc
authoredFeb 15, 2021

Commits on Feb 10, 2021

Fix error messages in test coverage reporting (#394 )
ant0nsc
authoredFeb 10, 2021

Commits on Feb 9, 2021

Improve documentation for dataset upload (#392 )
ant0nsc
authoredFeb 9, 2021

Commits on Feb 8, 2021

Enable multi-node training (#385 )
ant0nsc
authoredFeb 8, 2021

Commits on Feb 3, 2021

Documentation updates (#368 )

authoredFeb 3, 2021

Commits on Feb 2, 2021

Preserve image aspect ratio for images in classification report (#379 )
Shruthi42
authoredFeb 2, 2021
renaming master -> main (#384 )
ant0nsc
authoredFeb 2, 2021
Create codeql-analysis.yml (#383 )
javier-alvarez
authoredFeb 2, 2021

Commits on Jan 29, 2021

Update for release (#380 )
ant0nsc
authoredJan 29, 2021
Remove sub-fold documentation (#369 )
Shruthi42
authoredJan 29, 2021

Commits on Jan 28, 2021

Migrate to Pytorch Lightning (#323 )
ant0nsc
authoredJan 28, 2021

Commits on Jan 22, 2021

Implement grouped dataset splits and cross-validation (#363 )
dccastro
authoredJan 22, 2021

Commits on Jan 20, 2021

Update notebook formats to 4.5 (#367 )
Shruthi42
authoredJan 20, 2021

Commits on Jan 15, 2021

Remove model configurations dependency on Tests. This was breaking inference. (#361 )
javier-alvarez
authoredJan 15, 2021