Feature: Include LVAE model and training code #154
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…for readability + Moved pl.lightningmodule methods at the end of the script before moving them to another script
…different categories (training, loss, model, data)
…module in layers.py + added script for Likelihood modules
…n attributes in the __init__()
…into the getters section
…ed required submodules
…e (_init_multires() not completed)
…o include_lvae_dev
…ing attributes that are defined by the new config
…taining utils for model evaluation
…apted code for plotting comparison between ground truth and prediction and to compute associated metrics + added required helper functions in eval_utils.py and metrics.py
… input were inverted within the ger_reconstruction_loss() arguments + fixed typos in other scripts
…enting from doing inner tiling in the data module
…training time. The consequence was that training is done on grid_size sized patches.
…o another module +added callback to log learning rate in order to be able to monitor ReduceLROnPlateau
…he 'lvae_training' submodule
….ipynb to examples/
jdeschamps
changed the title
jdeschamps
approved these changes
Jun 24, 2024
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Description
Added LVAE architecture and related modules to train HDN, muSplit, and denoiSplit.
Most of the code was taken from https://github.com/ashesh-0/Disentangle.
Changes Made
nn.Module) atsrc/careamics/models/lvae. Moreover, added several new modules for data loading, model training and evaluation atsrc/careamics/lvae_training. A notebook to evaluate trained models is available withinexamplesdirectory.