Research project

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
datasets	Initial, very basic framework for running comparison tests	2020-11-24 17:19:46 +01:00
models	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
saved_models	Initial, very basic framework for running comparison tests	2020-11-24 17:19:46 +01:00
.gitignore	First basic auto-encoder and CIFAR-10 dataset implemented	2020-12-28 13:09:18 +01:00
config.example.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
logging.conf	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
main.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
requirements.txt	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
utils.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