Kevin Alberts f76374111c Add mssim score calculation, corrupt test data before testing, clip noise to avoid invalid values		2021-01-17 16:59:14 +01:00
..
__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	Add mssim score calculation, corrupt test data before testing, clip noise to avoid invalid values	2021-01-17 16:59:14 +01:00
base_encoder.py	Add mssim score calculation, corrupt test data before testing, clip noise to avoid invalid values	2021-01-17 16:59:14 +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	Add mssim score calculation, corrupt test data before testing, clip noise to avoid invalid values	2021-01-17 16:59:14 +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	Add mssim score calculation, corrupt test data before testing, clip noise to avoid invalid values	2021-01-17 16:59:14 +01:00
mnist_dataset.py	Add mssim score calculation, corrupt test data before testing, clip noise to avoid invalid values	2021-01-17 16:59:14 +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	Add mssim score calculation, corrupt test data before testing, clip noise to avoid invalid values	2021-01-17 16:59:14 +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