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Ross Wightman bb50ac4708 Add DeiT distilled weights and distilled model def. Remove some redudant ViT model args.		4 years ago
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layers	ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.	4 years ago
pruned	…
__init__.py	ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.	4 years ago
cspnet.py	…
densenet.py	…
dla.py	…
dpn.py	Remove some old __future__ imports	4 years ago
efficientnet.py	…
efficientnet_blocks.py	…
efficientnet_builder.py	…
factory.py	ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.	4 years ago
features.py	…
gluon_resnet.py	…
gluon_xception.py	…
helpers.py	More dataset work including factories and a tensorflow datasets (TFDS) wrapper	4 years ago
hrnet.py	…
inception_resnet_v2.py	…
inception_v3.py	…
inception_v4.py	…
mobilenetv3.py	…
nasnet.py	ResNetV2 pre-act and non-preact model, w/ BiT pretrained weights and support for ViT R50 model. Tweaks for in21k num_classes passing. More to do... tests failing.	4 years ago
pnasnet.py	…
registry.py	…
regnet.py	…
res2net.py	…
resnest.py	…
resnet.py	Convert samples/targets in ParserImageInTar to numpy arrays, slightly less mem usage for massive datasets. Add a few more se/eca model defs to resnet.py	4 years ago
resnetv2.py	Finishing adding stochastic depth support to BiT ResNetV2 models	4 years ago
rexnet.py	…
selecsls.py	…
senet.py	…
sknet.py	…
tresnet.py	…
vision_transformer.py	Add DeiT distilled weights and distilled model def. Remove some redudant ViT model args.	4 years ago
vovnet.py	…
xception.py	…
xception_aligned.py	…