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Created with Raphaël 2.2.01Jul28Jun26242113107432129May282524228732130Apr2922212019181716854229Mar21191817161413118765128Feb272624222019161413129875229Jan242322191722Dec141319Sep518Aug17161514865432131Jul30282726[mednet] Fixes after rebase[database] Rename split to fold[experiment] Add iostar database[helpers] Add script to generate histograms for use in tests[experiment] Check validation split exists for evaluation threshold[tests] Minor fixes[segmentation] Add chasedb1 database[segmentation] Add stare database[pyproject] Update tests paths[segmentation] Fix typing[doc] Add segmentation documentation[segmentation.tests] Add more tests[train-analysis] Fix input parameter issue[segmentation-evaluation] Functional evaluation code[segmetnation-predict] Save target and mask in hdf5 file[predict] Split predict into functions and implement in segmentation[tests] Add tests for drive database[cli] Add info command[chore] Fix typo[tests] Fix tests[predict] Split predict script into functions, fix segmentation[mednet] Fixes after rebase[train] move balance-classes option to classification script only[rawdataloader] Better typing for specialized RawDataLoaders[dataloader] Rename label to target[train] Split common training operations into classes[dataloader] Create specialized RawDataLoaders per task[segmentation] Add train-analysis command[datamodule] Apply model transforms on TVTensors[lwnet] Common loss for train and validation[model] Balance loss on train DataModule if no validation one[normalizer] Ensure targets are int type[tests] Update tests[cli] Fix info command[lwnet] Add parameter for crop size[script] Move config and database scripts to common lib[scripts] move training and prediction scripts to common packge[segmentation] Add base code from deepdraw[datamodule] Use train split if no validation split available[mednet] Start reorganizing into monorepo