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pytorch-image-models/timm/models
Ross Wightman d73f548b0f
Re-order vit pretrained entries for more sensible default weights (no .tag specified)
2 years ago
..
_pruned
layers Add FlexiViT models and weights, refactoring, push more weights 2 years ago
__init__.py
_builder.py Add FlexiViT models and weights, refactoring, push more weights 2 years ago
_efficientnet_blocks.py
_efficientnet_builder.py
_factory.py
_features.py
_features_fx.py
_helpers.py
_hub.py Working on improved model card template for push_to_hf_hub 2 years ago
_manipulate.py
_pretrained.py Add FlexiViT models and weights, refactoring, push more weights 2 years ago
_prune.py
_registry.py Add FlexiViT models and weights, refactoring, push more weights 2 years ago
beit.py Switch BEiT to HF hub weights 2 years ago
byoanet.py
byobnet.py Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way. 2 years ago
cait.py
coat.py
convit.py
convmixer.py
convnext.py Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way. 2 years ago
crossvit.py
cspnet.py Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way. 2 years ago
deit.py
densenet.py
dla.py
dpn.py
edgenext.py
efficientformer.py
efficientnet.py
factory.py
features.py
fx_features.py
gcvit.py
ghostnet.py
gluon_resnet.py
gluon_xception.py
hardcorenas.py
helpers.py
hrnet.py
hub.py
inception_resnet_v2.py
inception_v3.py
inception_v4.py
levit.py
maxxvit.py Add FlexiViT models and weights, refactoring, push more weights 2 years ago
mlp_mixer.py
mobilenetv3.py
mobilevit.py
mvitv2.py
nasnet.py Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models 2 years ago
nest.py
nfnet.py Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way. 2 years ago
pit.py
pnasnet.py
poolformer.py
pvt_v2.py
registry.py
regnet.py Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way. 2 years ago
res2net.py Fix ResNet based models to work w/ norm layers w/o affine params. Reformat long arg lists into vertical form. 2 years ago
resnest.py Fix ResNet based models to work w/ norm layers w/o affine params. Reformat long arg lists into vertical form. 2 years ago
resnet.py Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way. 2 years ago
resnetv2.py Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way. 2 years ago
rexnet.py
selecsls.py
senet.py
sequencer.py
sknet.py Fix ResNet based models to work w/ norm layers w/o affine params. Reformat long arg lists into vertical form. 2 years ago
swin_transformer.py
swin_transformer_v2.py
swin_transformer_v2_cr.py
tnt.py
tresnet.py
twins.py
vgg.py
visformer.py
vision_transformer.py Re-order vit pretrained entries for more sensible default weights (no .tag specified) 2 years ago
vision_transformer_hybrid.py Add FlexiViT models and weights, refactoring, push more weights 2 years ago
vision_transformer_relpos.py Add FlexiViT models and weights, refactoring, push more weights 2 years ago
volo.py
vovnet.py Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way. 2 years ago
xception.py
xception_aligned.py
xcit.py