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Created with Raphaël 2.2.0
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Sep
Change default learning rate for Adam
Config fixes
Set NaN debugging to False
Add miner to approach configs
Fix bug during model naming
Update Hydra config
Add shell script for training reproduction script
Fix bugs in main_trainer.py
Select 32GB GPU
Set network to training mode when loading it
Add training reproduction script
Fix bug with importing AISC unnuecessarily
Add batch sizes to models
Add option for disabling validation #2
Add comment to sample experiment config
Add option for disabling validation
Fix small bug in savers_and_loaders
Fix bug where single batch mode would cause error
Fix bug in calc_mean
Update requirements with project package
Make config.yaml more modular (added metric and crossentropy approaches)
Update model configs
Add models as separate configs
Add sample experiment config (meant for injection into main config)
PEP formatting
Minor update to augmentations
Add a readme file
Remove obsolete W&B run id line
Add args argument to train_tsne
Minor update to metadata_to_labels
Minor update to split
Minor bugfix in augmentations
Minor bugfix in augmentations
Update requirements file
Update requirements file path
Make project use .env file for data directory
Model training now correctly exits when fully trained
Formatting #2
Formatting
Fix attempt for resuming runs
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