Kevin Alberts bc95548ae3 Move saving of samples to dataset, as the process differs per dataset. Add MNIST dataset. Allow saving labels with the dataset (for use in tabular data in the future)		2021-01-14 18:45:26 +01:00
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__init__.py	Initial, very basic framework for running comparison tests	2020-11-24 17:19:46 +01:00
base_corruption.py	Implement types of auto-encoders and corruption, use log scale in loss graphs, lots of helper function hooks in training process to allow implementations	2020-12-29 18:44:44 +01:00
base_dataset.py	Move saving of samples to dataset, as the process differs per dataset. Add MNIST dataset. Allow saving labels with the dataset (for use in tabular data in the future)	2021-01-14 18:45:26 +01:00
base_encoder.py	Move saving of samples to dataset, as the process differs per dataset. Add MNIST dataset. Allow saving labels with the dataset (for use in tabular data in the future)	2021-01-14 18:45:26 +01:00
basic_encoder.py	Implement types of auto-encoders and corruption, use log scale in loss graphs, lots of helper function hooks in training process to allow implementations	2020-12-29 18:44:44 +01:00
cifar10_dataset.py	Move saving of samples to dataset, as the process differs per dataset. Add MNIST dataset. Allow saving labels with the dataset (for use in tabular data in the future)	2021-01-14 18:45:26 +01:00
contractive_encoder.py	Implement types of auto-encoders and corruption, use log scale in loss graphs, lots of helper function hooks in training process to allow implementations	2020-12-29 18:44:44 +01:00
denoising_encoder.py	Implement types of auto-encoders and corruption, use log scale in loss graphs, lots of helper function hooks in training process to allow implementations	2020-12-29 18:44:44 +01:00
gaussian_corruption.py	Move saving of samples to dataset, as the process differs per dataset. Add MNIST dataset. Allow saving labels with the dataset (for use in tabular data in the future)	2021-01-14 18:45:26 +01:00
mnist_dataset.py	Move saving of samples to dataset, as the process differs per dataset. Add MNIST dataset. Allow saving labels with the dataset (for use in tabular data in the future)	2021-01-14 18:45:26 +01:00
sparse_encoder.py	Implement types of auto-encoders and corruption, use log scale in loss graphs, lots of helper function hooks in training process to allow implementations	2020-12-29 18:44:44 +01:00
test_run.py	Implement types of auto-encoders and corruption, use log scale in loss graphs, lots of helper function hooks in training process to allow implementations	2020-12-29 18:44:44 +01:00
variational_encoder.py	Implement types of auto-encoders and corruption, use log scale in loss graphs, lots of helper function hooks in training process to allow implementations	2020-12-29 18:44:44 +01:00