709d7c07e8
Merge branch 'rwightman:master' into master
4 years ago
240e667746
Revert "mixer_b16_224_miil"
4 years ago
d046498e0b
update test_models.py
4 years ago
7b799c4e79
add latest code
4 years ago
cf4ce2f15b
Merge pull request #647 from rwightman/more_mlp
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Add preliminary gMLP and ResMLP impl to Mlp-Mixer
4 years ago
b3b503c13d
Merge pull request #626 from cvcomar/master
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fix: the exception not using default topk argument
4 years ago
6d81374b88
Update tests for new mlp models
4 years ago
5bcf686cb0
mixer_b16_224_miil
4 years ago
d5af752117
Add preliminary gMLP and ResMLP impl to Mlp-Mixer
4 years ago
00548b8427
Add Twins
4 years ago
e7f0db8664
Fix drop/drop_path arg on MLP-Mixer model. Fix #641
4 years ago
9a3ae97311
Another set of byoanet models w/ ECA channel + SA + groups
4 years ago
d53e91218e
Fix tf.data options setting for newer TF versions
4 years ago
7077f16c6a
Change 21k model naming from _21k to _in21k for consistency with existing 21k models.
4 years ago
94d4b53352
Add temporary default_cfgs to visformer models so they pass tests
4 years ago
2a72d38ba2
Update README.md
4 years ago
3bffc701f1
Merge branch 'master' into levit_visformer_rednet
4 years ago
758802e1f6
Merge pull request #636 from rwightman/effnetv2_official
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EfficientNetV2 official impl w/ weights ported from TF.
4 years ago
ecc7552c5c
Add levit, levit_c, and visformer model defs. Largely untested and not finished cleanup.
4 years ago
165fb354b2
Add initial RedNet model / Involution layer impl for testing
4 years ago
328249f11a
Update README, tweak fine-tune effv2 model names.
4 years ago
c4f482a08b
EfficientNetV2 official impl w/ weights ported from TF. Cleanup/refactor of related EfficientNet classes and models.
4 years ago
c16d65a8a7
Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.
4 years ago
4fbc32d3d0
Fix crop_pct for cait models.
4 years ago
d7e1e7144a
fix: the exeption when topk is 1
4 years ago
ffa90e04d3
fix: the exception not using default topk argument
4 years ago
715519a5ef
Rethink name of patch embed grid info
4 years ago
b2c305c2aa
Move Mlp and PatchEmbed modules into layers. Being used in lots of models now...
4 years ago
3ba6b55cb2
More adjustments to ByoaNet models for further experiments.
4 years ago
f480734ad5
Update README.md
4 years ago
504fef4bc1
Merge pull request #609 from rwightman/cait
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CaiT transformer model
4 years ago
d45e50b9db
Update test for cait 448x448 model
4 years ago
5fcddb96a8
Merge branch 'master' into cait
4 years ago
3db12b4b6a
Finish CaiT cleanup
4 years ago
936e9b331d
Merge pull request #613 from rwightman/mlp-mixer
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MLP-Mixer models w/ pretrained weights ported from Google JAX impl...
4 years ago
2d8b09fe8b
Add official pretrained weights to MLP-Mixer, complete model cfgs.
4 years ago
12efffa6b1
Initial MLP-Mixer attempt...
4 years ago
0721559511
Improved (hopefully) init for SA/SA-like layers used in ByoaNets
4 years ago
d5473c17f7
Fix incorrect name of shortcut/identity paths in many residual nets. Inherited from naming in old old torchvision, long fixed there.
4 years ago
0d87650fea
Remove filter hack from BlurPool w/ non-persistent buffer. Use BlurPool2d instead of AntiAliasing.. for TResNet. Breaks PyTorch < 1.6.
4 years ago
ddc743fdf8
Update ResNet-RS models to EMA weights
4 years ago
08d60f4a9a
resnetrs50 pool sizing wrong
4 years ago
137a374930
Merge pull request #555 from MichaelMonashev/patch-1
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benchmark.py argument description fixed
4 years ago
1daa15ecc3
Initial Cait commit. Still some cleanup to do.
4 years ago
67d0665b46
Post ResNet-RS merge cleanup. Add weight urls, adjust train/test/crop pct.
4 years ago
560eae38f5
[WIP] Add ResNet-RS models ( #554 )
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* Add ResNet-RS models
* Only include resnet-rs changes
* remove whitespace diff
* EOF newline
* Update time
* increase time
* Add first conv
* Try running only resnetv2_101x1_bitm on Linux runner
* Add to exclude filter
* Run test_model_forward_features for all
* Add to exclude ftrs
* back to defaults
* only run test_forward_features
* run all tests
* Run all tests
* Add bigger resnetrs to model filters to fix Github CLI
* Remove resnetv2_101x1_bitm from exclude feat features
* Remove hardcoded values
* Make sure reduction ratio in resnetrs is 0.25
* There is no bias in replaced maxpool so remove it
4 years ago
9cc7dda6e5
Fixup byoanet configs to pass unit tests. Add swin_attn and swinnet26t model for testing.
4 years ago
e15c3886ba
Defaul lambda r=7. Define '26t' stage 4/5 256x256 variants for all of bot/halo/lambda nets for experiment. Add resnet50t for exp. Fix a few comments.
4 years ago
d15ad3e919
Merge branch 'morizin-master'
4 years ago
e5e15754c9
Fix coat first conv ident
4 years ago
mrT23