This repository has been archived on 2025-07-30. You can view files and clone it, but you cannot make any changes to it's state, such as pushing and creating new issues, pull requests or comments.

Exact

Exact Union

Kevin Alberts d0785e12e2 Small changes to make the US weather dataset work properly, example test runs in config file.		2021-01-29 10:52:49 +01:00
..
__init__.py	Initial, very basic framework for running comparison tests	2020-11-24 17:19:46 +01:00
base_corruption.py	Allow input shape to be defined by dataset, save loss values as csv after training, implemented basic version of US weather dataset, but it is very slow and has bad results probably due to input encoding issue	2021-01-20 21:48:31 +01:00
base_dataset.py	Allow loss function to be defined by the dataset. Add specialized loss function for US weather dataset	2021-01-21 21:47:00 +01:00
base_encoder.py	Allow loss function to be defined by the dataset. Add specialized loss function for US weather dataset	2021-01-21 21:47:00 +01:00
basic_encoder.py	Allow loss function to be defined by the dataset. Add specialized loss function for US weather dataset	2021-01-21 21:47:00 +01:00
cifar10_dataset.py	Allow input shape to be defined by dataset, save loss values as csv after training, implemented basic version of US weather dataset, but it is very slow and has bad results probably due to input encoding issue	2021-01-20 21:48:31 +01:00
contractive_encoder.py	Small changes to make the US weather dataset work properly, example test runs in config file.	2021-01-29 10:52:49 +01:00
denoising_encoder.py	Allow loss function to be defined by the dataset. Add specialized loss function for US weather dataset	2021-01-21 21:47:00 +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	Allow input shape to be defined by dataset, save loss values as csv after training, implemented basic version of US weather dataset, but it is very slow and has bad results probably due to input encoding issue	2021-01-20 21:48:31 +01:00
random_corruption.py	Allow input shape to be defined by dataset, save loss values as csv after training, implemented basic version of US weather dataset, but it is very slow and has bad results probably due to input encoding issue	2021-01-20 21:48:31 +01:00
sparse_encoder.py	Allow loss function to be defined by the dataset. Add specialized loss function for US weather dataset	2021-01-21 21:47:00 +01:00
test_run.py	Allow input shape to be defined by dataset, save loss values as csv after training, implemented basic version of US weather dataset, but it is very slow and has bad results probably due to input encoding issue	2021-01-20 21:48:31 +01:00
usweather_dataset.py	Small changes to make the US weather dataset work properly, example test runs in config file.	2021-01-29 10:52:49 +01:00
variational_encoder.py	Allow loss function to be defined by the dataset. Add specialized loss function for US weather dataset	2021-01-21 21:47:00 +01:00