Standard release

Added

• ViT attention analysis, ViT positional embedding analysis and references are added to "face_image_classification_gender_vision_transformer.ipynb" Jupyter notebook
• The new PTH dependencies:
  • kaggle==1.5.10
• create_subplots function in pytorch_hyperlight.utils.plot_utils for easy creation of subplots
• pytorch_hyperlight.datasets.kaggle.utkfaces module containing the functions for creating dataloaderes for UTKFaces dataset from Kaggle
• pytorch_hyperlight.tasks.classification.AAutoClsHeadClassificationTaskAdamStepLR class for automating the creation of classification heads for different classification models including CNNs and Transformers
• happy-path usage Jupyter notebook example for TrialMetrics class
• pytorch_hyperlight.utils.jupyter_nb_utils module containing the hepler functions for running jupyter notebooks (especially notebook examples)

Changed

• "face_image_classification_gender_vit_vs_efficientnet.ipynb" Jupyter notebook is renamed to "face_image_classification_gender_vision_transformer.ipynb"
• "face_image_classification_gender_vision_transformer.ipynb" now imports create_datasets and create_dataloaders from pytorch_hyperlight.datasets.kaggle.utkfaces
• MLDev python packages version changes:
  • jupytext==1.10.1
• image_utils.show_image_tensors now uses create_subplots from utils_subplot
• pytorch_hyperlight.metrics.TrialMetrics.plot method (and show_report method) now uses the newly added create_subplots function from pytorch_hyperlight.utils.plot_utils
• examples/_run_all_examples.ipynb notebook and test_notebook_examples testcase a) are refactored to use the functions from jupyter_nb_utils module b) use "_notebook_workspace" as a working folder for jupyter notebooks
• all examples are placed into separate folders by categories