James Betker 4b82d0815d NSG improvements ... - Just use resnet blocks for the multiplexer trunk of the generator - Every block initializes itself, rather than everything at the end - Cleans up some messy parts of the architecture, including unnecessary kernel sizes and places where BN is not used properly.		2020-06-29 10:09:51 -06:00
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archs	NSG improvements	2020-06-29 10:09:51 -06:00
__init__.py	Implement downsample GAN	2020-04-24 00:00:46 -06:00
base_model.py	Fix inverse temperature curve logic and add upsample factor	2020-06-19 09:18:30 -06:00
loss.py
lr_scheduler.py	Enable forced learning rates	2020-06-07 16:56:05 -06:00
networks.py	Add NestedSwitchGenerator	2020-06-28 21:22:05 -06:00
SR_model.py	Allow validating in batches, remove val size limit	2020-06-02 08:41:22 -06:00
SRGAN_model.py	Add profiling to SRGAN for testing timings	2020-06-18 11:29:10 -06:00