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RP_AutoEncoderComparison
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Kevin Alberts
e4c51e2d3d
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
datasets
Initial, very basic framework for running comparison tests
2020-11-24 17:19:46 +01:00
models
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
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
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
main.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
requirements.txt
Add mssim score calculation, corrupt test data before testing, clip noise to avoid invalid values
2021-01-17 16:59:14 +01:00
utils.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