James Betker bc20b4739e vqvae3 ... Changes VQVAE as so: - Reverts back to smaller codebook - Adds an additional conv layer at the highest resolution for both the encoder & decoder - Uses LeakyReLU on trunk		2021-01-29 15:24:26 -07:00
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.idea
data	Support training imagenet classifier	2021-01-11 20:09:16 -07:00
models	vqvae3	2021-01-29 15:24:26 -07:00
scripts	test uresnet playground mods	2021-01-23 13:46:43 -07:00
trainer	Add SrPixLoss, which focuses pixel-based losses on high-frequency regions	2021-01-25 08:26:14 -07:00
utils	update vqvae to double codebook size for bottom quantizer	2021-01-23 13:47:07 -07:00
multi_modal_train.py	More adjustments to support distributed training with teco & on multi_modal_train	2020-10-27 20:58:03 -06:00
process_video.py	misc	2021-01-23 13:45:17 -07:00
requirements.txt	Support training imagenet classifier	2021-01-11 20:09:16 -07:00
test_image_patch_classifier.py	More refactoring	2020-12-18 09:18:34 -07:00
test.py	misc	2021-01-23 13:45:17 -07:00
train2.py	resnet_unet_3	2021-01-15 14:51:03 -07:00
train.py	Add switched_conv with hard routing and make vqvae use it.	2021-01-25 08:25:29 -07:00