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Ross Wightman cf5ac2800c BotNet models were still off, remove weights for bad configs. Add good SE-HaloNet33-TS weights.		3 years ago
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layers	Cleanup weight init for byob/byoanet and related	3 years ago
pruned	…
__init__.py	Add BeiT 'finetuned' 1k weights and pretrained 22k weights, pretraining specific (masked) model excluded for now	3 years ago
beit.py	Add BeiT 'finetuned' 1k weights and pretrained 22k weights, pretraining specific (masked) model excluded for now	3 years ago
byoanet.py	BotNet models were still off, remove weights for bad configs. Add good SE-HaloNet33-TS weights.	3 years ago
byobnet.py	Add resnet33ts weights, update resnext26ts baseline weights	3 years ago
cait.py	Refactoring, cleanup, improved test coverage.	3 years ago
coat.py	Refactoring, cleanup, improved test coverage.	3 years ago
convit.py	Merge branch 'master' into cleanup_xla_model_fixes	3 years ago
crossvit.py	A few more crossvit tweaks, fix training w/ no_weight_decay names, add crop option for scaling, adjust default crop_pct for large img size to 1.0 for better results	3 years ago
cspnet.py	…
densenet.py	…
dla.py	Refactoring, cleanup, improved test coverage.	3 years ago
dpn.py	Refactoring, cleanup, improved test coverage.	3 years ago
efficientnet.py	Add gc_efficientnetv2_rw_t weights (global context instead of SE attn). Add TF XL weights even though the fine-tuned ones don't validate that well. Change default arg for GlobalContext to use scal (mul) mode.	3 years ago
efficientnet_blocks.py	…
efficientnet_builder.py	…
factory.py	…
features.py	…
ghostnet.py	Fix a few issues loading pretrained vit/bit npz weights w/ num_classes=0 __init__ arg. Missed a few other small classifier handling detail on Mlp, GhostNet, Levit. Should fix #713	3 years ago
gluon_resnet.py	…
gluon_xception.py	…
hardcorenas.py	…
helpers.py	Refactoring, cleanup, improved test coverage.	3 years ago
hrnet.py	…
hub.py	…
inception_resnet_v2.py	…
inception_v3.py	…
inception_v4.py	…
levit.py	Fix a few issues loading pretrained vit/bit npz weights w/ num_classes=0 __init__ arg. Missed a few other small classifier handling detail on Mlp, GhostNet, Levit. Should fix #713	3 years ago
mlp_mixer.py	Add gMLP-S weights, 79.6 top-1	3 years ago
mobilenetv3.py	Refactoring, cleanup, improved test coverage.	3 years ago
nasnet.py	…
nest.py	Use bicubic interpolation in resize_pos_embed()	3 years ago
nfnet.py	Refactoring, cleanup, improved test coverage.	3 years ago
pit.py	Refactoring, cleanup, improved test coverage.	3 years ago
pnasnet.py	…
registry.py	Refactoring, cleanup, improved test coverage.	3 years ago
regnet.py	…
res2net.py	…
resnest.py	…
resnet.py	Add baseline resnet26t @ 256x256 weights. Add 33ts variant of halonet with at least one halo in stage 2,3,4	3 years ago
resnetv2.py	Fix features for resnetv2_50t	3 years ago
rexnet.py	…
selecsls.py	…
senet.py	…
sknet.py	…
swin_transformer.py	Refactoring, cleanup, improved test coverage.	3 years ago
tnt.py	…
tresnet.py	…
twins.py	Refactoring, cleanup, improved test coverage.	3 years ago
vgg.py	…
visformer.py	Fix a few issues loading pretrained vit/bit npz weights w/ num_classes=0 __init__ arg. Missed a few other small classifier handling detail on Mlp, GhostNet, Levit. Should fix #713	3 years ago
vision_transformer.py	Fix silly typo	3 years ago
vision_transformer_hybrid.py	AugReg release	3 years ago
vovnet.py	…
xception.py	…
xception_aligned.py	…
xcit.py	Allow act_layer switch for xcit, fix in_chans for some variants	3 years ago