You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
pytorch-image-models/timm/models
Ross Wightman 23b102064a
Add cs3sedarknet_x weights w/ 82.65 @ 288 top1. Add 2 cs3 edgenet models (w/ 3x3-1x1 block), remove aa from cspnet blocks (not needed)
2 years ago
..
layers Add --use-train-size flag to force use of train input_size (over test input size) for validation. Default test-time pooling to use train input size (fixes issues). 2 years ago
pruned
__init__.py Add initial EdgeNeXt import. Significant cleanup / reorg (like ConvNeXt). Fix #1320 3 years ago
beit.py
byoanet.py
byobnet.py
cait.py
coat.py
convit.py
convmixer.py
convnext.py Remove experimental downsample in block support in ConvNeXt. Experiment further before keeping it in. 2 years ago
crossvit.py
cspnet.py Add cs3sedarknet_x weights w/ 82.65 @ 288 top1. Add 2 cs3 edgenet models (w/ 3x3-1x1 block), remove aa from cspnet blocks (not needed) 2 years ago
deit.py Unbreak gamma remap impacting beit checkpoint load, version bump to 0.6.4 2 years ago
densenet.py
dla.py
dpn.py
edgenext.py x and xx small edgenext models do benefit from larger test input size 2 years ago
efficientnet.py
efficientnet_blocks.py
efficientnet_builder.py
factory.py
features.py
fx_features.py
ghostnet.py
gluon_resnet.py
gluon_xception.py
hardcorenas.py
helpers.py no longer a point using kwargs for pretrain_cfg resolve, just pass explicit arg 3 years ago
hrnet.py
hub.py 👽 use hf_hub_download instead of cached_download 2 years ago
inception_resnet_v2.py
inception_v3.py Improve resolve_pretrained_cfg behaviour when no cfg exists, warn instead of crash. Improve usability ex #1311 3 years ago
inception_v4.py
levit.py
mlp_mixer.py
mobilenetv3.py
mobilevit.py Add MobileVitV2 support. Fix #1332. Move GroupNorm1 to common layers (used in poolformer + mobilevitv2). Keep ol custom ConvNeXt LayerNorm2d impl as LayerNormExp2d for reference. 2 years ago
nasnet.py
nest.py
nfnet.py
pit.py
pnasnet.py
poolformer.py Add MobileVitV2 support. Fix #1332. Move GroupNorm1 to common layers (used in poolformer + mobilevitv2). Keep ol custom ConvNeXt LayerNorm2d impl as LayerNormExp2d for reference. 2 years ago
registry.py
regnet.py
res2net.py
resnest.py
resnet.py Remove first_conv for resnetaa50 def 3 years ago
resnetv2.py
rexnet.py
selecsls.py
senet.py
sequencer.py Fix tests for rank-4 output where feature channels dim is -1 (3) and not 1 3 years ago
sknet.py
swin_transformer.py
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
tresnet.py
twins.py
vgg.py
visformer.py
vision_transformer.py Unbreak gamma remap impacting beit checkpoint load, version bump to 0.6.4 2 years ago
vision_transformer_hybrid.py
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
vovnet.py
xception.py
xception_aligned.py
xcit.py