James Betker 587a4f4050 resnet_unet_3 ... I'm being really lazy here - these nets are not really different from each other except at which layer they terminate. This one terminates at 2x downsampling, which is simply indicative of a direction I want to go for testing these pixpro networks.		2021-01-15 14:51:03 -07:00
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.idea
data	Support training imagenet classifier	2021-01-11 20:09:16 -07:00
models	resnet_unet_3	2021-01-15 14:51:03 -07:00
scripts	Adjustments to pixpro to allow training against networks with arbitrarily large structural latents	2021-01-12 09:17:45 -07:00
trainer	resnet_unet_3	2021-01-15 14:51:03 -07:00
utils	Enable vqvae to use a switched_conv variant	2021-01-09 20:53:14 -07:00
multi_modal_train.py
process_video.py	Fix process_video	2021-01-09 20:53:46 -07:00
requirements.txt	Support training imagenet classifier	2021-01-11 20:09:16 -07:00
test_image_patch_classifier.py
test.py
train2.py	resnet_unet_3	2021-01-15 14:51:03 -07:00
train.py	resnet_unet_3	2021-01-15 14:51:03 -07:00