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pytorch-image-models/timm/models
Ross Wightman 48e1df8b37
Add norm/norm_act header comments
2 years ago
..
layers Add norm/norm_act header comments 2 years ago
pruned
__init__.py MaxxVit! A very configurable MaxVit and CoAtNet impl with lots of goodies.. 2 years ago
beit.py Remove some redundant requires_grad=True from nn.Parameter in third party code 2 years ago
byoanet.py Transitioning default_cfg -> pretrained_cfg. Improving handling of pretrained_cfg source (HF-Hub, files, timm config, etc). Checkpoint handling tweaks. 3 years ago
byobnet.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
cait.py Remove some redundant requires_grad=True from nn.Parameter in third party code 2 years ago
coat.py Significant model refactor and additions: 3 years ago
convit.py Significant model refactor and additions: 3 years ago
convmixer.py Significant model refactor and additions: 3 years ago
convnext.py For ConvNeXt, use timm internal LayerNorm for fast_norm in non conv_mlp mode 2 years ago
crossvit.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
cspnet.py Add weights for two 'Edge' block (3x3->1x1) variants of CS3 networks. 2 years ago
deit.py Add DeiT-III 'medium' model defs and weights 2 years ago
densenet.py Fix two default args in DenseNet blocks... fix #1427 2 years ago
dla.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
dpn.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
edgenext.py Add edgenext_base model def & weight link, update to improve ONNX export #1385 2 years ago
efficientformer.py More test fixes, pool size for 256x256 maxvit models 2 years ago
efficientnet.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
efficientnet_blocks.py Merge remote-tracking branch 'origin/master' into norm_norm_norm 3 years ago
efficientnet_builder.py Merge remote-tracking branch 'origin/master' into norm_norm_norm 3 years ago
factory.py Revert ml-decoder changes to model factory and train script 3 years ago
features.py Significant model refactor and additions: 3 years ago
fx_features.py Update type hint for `register_notrace_module` 2 years ago
gcvit.py More model and test fixes 2 years ago
ghostnet.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
gluon_resnet.py Transitioning default_cfg -> pretrained_cfg. Improving handling of pretrained_cfg source (HF-Hub, files, timm config, etc). Checkpoint handling tweaks. 3 years ago
gluon_xception.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
hardcorenas.py Significant model refactor and additions: 3 years ago
helpers.py no longer a point using kwargs for pretrain_cfg resolve, just pass explicit arg 2 years ago
hrnet.py Ensure all model entrypoint fn default to `pretrained=False` (a few didn't) 2 years ago
hub.py 👽 use hf_hub_download instead of cached_download 2 years ago
inception_resnet_v2.py Significant model refactor and additions: 3 years ago
inception_v3.py Improve resolve_pretrained_cfg behaviour when no cfg exists, warn instead of crash. Improve usability ex #1311 2 years ago
inception_v4.py Significant model refactor and additions: 3 years ago
levit.py Fix pit implementation to be clsoer to deit/levit re distillation head handling 3 years ago
maxxvit.py Tweak init for convnext block using maxxvit/coatnext. 2 years ago
mlp_mixer.py Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355 2 years ago
mobilenetv3.py Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355 2 years ago
mobilevit.py Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355 2 years ago
mvitv2.py More model and test fixes 2 years ago
nasnet.py Significant model refactor and additions: 3 years ago
nest.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
nfnet.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
pit.py Fix pit implementation to be clsoer to deit/levit re distillation head handling 3 years ago
pnasnet.py Significant model refactor and additions: 3 years ago
poolformer.py Remove some redundant requires_grad=True from nn.Parameter in third party code 2 years ago
pvt_v2.py More model and test fixes 2 years ago
registry.py Transitioning default_cfg -> pretrained_cfg. Improving handling of pretrained_cfg source (HF-Hub, files, timm config, etc). Checkpoint handling tweaks. 3 years ago
regnet.py Fix group_matcher regex for regnet.py 3 years ago
res2net.py Significant model refactor and additions: 3 years ago
resnest.py Significant model refactor and additions: 3 years ago
resnet.py Ensure all model entrypoint fn default to `pretrained=False` (a few didn't) 2 years ago
resnetv2.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
rexnet.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
selecsls.py Significant model refactor and additions: 3 years ago
senet.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
sequencer.py Fix tests for rank-4 output where feature channels dim is -1 (3) and not 1 3 years ago
sknet.py Significant model refactor and additions: 3 years ago
swin_transformer.py Add initial swinv2 tiny / small weights 3 years ago
swin_transformer_v2.py Add updated vit_relpos weights, and impl w/ support for official swin-v2 differences for relpos. Add bias control support for MLP layers 3 years ago
swin_transformer_v2_cr.py Remove persistent buffers from Swin-V2. Change SwinV2Cr cos attn + tau/logit_scale to match official, add ckpt convert, init_value zeros resid LN weight by default 3 years ago
tnt.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
tresnet.py Change models with mean 0,0,0 std 1,1,1 from int to float for consistency as mentioned in #1355 2 years ago
twins.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
vgg.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
visformer.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
vision_transformer.py Take `no_emb_class` into account when calling `resize_pos_embed` 2 years ago
vision_transformer_hybrid.py Vision Transformer refactoring and Rel Pos impl 3 years ago
vision_transformer_relpos.py Update vit_relpos w/ some additional weights, some cleanup to match recent vit updates, more MLP log coord experiments. 2 years ago
volo.py Significant model refactor and additions: 3 years ago
vovnet.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
xception.py Significant model refactor and additions: 3 years ago
xception_aligned.py Fix correctness of some group matching regex (no impact on result), some formatting, missed forward_head for resnet 3 years ago
xcit.py Remove some redundant requires_grad=True from nn.Parameter in third party code 2 years ago