a7fe891a13
Update README.md
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Update readme with SelecSLS details.
5 years ago
0554b7942c
Update README.md
5 years ago
53f578e16f
Update README with B3 training details
5 years ago
acc3ed2b8c
Add EfficientNet-B3 weights, trained from scratch with RA.
5 years ago
1f4498f217
Add ResNet deep tiered stem and model weights for seresnext26t_32x4d and seresnext26d_32x4d
5 years ago
73b78459dc
Add update RandAugment MixNet-XL weights
5 years ago
5d7af97981
Update README.md
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Update latest training hparam/command line with correct RandAugment config string (`noise` -> `mstd`)
5 years ago
3129bdb2c1
Update README.md
5 years ago
ff421e5e09
New PyTorch trained EfficientNet-B2 weights with my RandAugment impl
5 years ago
5259dbcbb4
Update README.md with latest changes
5 years ago
31453b039e
Update Auto/RandAugment comments, README, more.
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* Add a weighted choice option for RandAugment
* Adjust magnitude noise/std naming, config
5 years ago
0d58c50fb1
Add TF RandAug weights for B5/B7 EfficientNet models.
5 years ago
2680ad14bb
Add Res2Net and DLA to README
5 years ago
fac58f609a
Add RAdam, NovoGrad, Lookahead, and AdamW optimizers, a few ResNet tweaks and scheduler factory tweak.
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* Add some of the trendy new optimizers. Decent results but not clearly better than the standards.
* Can create a None scheduler for constant LR
* ResNet defaults to zero_init of last BN in residual
* add resnet50d config
5 years ago
73fbd97ed4
Add weights for my MixNet-XL creation, include README updates for EdgeTPU models
5 years ago
3b4868f6dc
A few more additions to Gluon Xception models to match interface of others.
5 years ago
9b35818811
Update README.md
5 years ago
4fe2da558c
Add MixNet Small and Large PyTorch native weights (no same padding)
5 years ago
15e66863b1
Update README.md
5 years ago
e879cf52fa
Update validation scores for new TF EfficientNet weights.
5 years ago
b35050a144
Update README.md
5 years ago
857f33015a
Add native PyTorch weights for MixNet-Medium with no SAME padding necessary. Remove unused block of code.
5 years ago
dfa9298b4e
Add MixNet ( https://arxiv.org/abs/1907.09595 ) with pretrained weights converted from Tensorflow impl
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* refactor 'same' convolution and add helper to use MixedConv2d when needed
* improve performance of 'same' padding for cases that can be handled statically
* add support for extra exp, pw, and dw kernel specs with grouping support to decoder/string defs for MixNet
* shuffle some args for a bit more consistency, a little less clutter overall in gen_efficientnet.py
5 years ago
d97510fd4a
Add new results csv and update README with 3 new ResNet weight results
6 years ago
5684c6af32
Update README.md
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Add blurb about results csv
6 years ago
a6b2f6eca5
Update README, bump version
6 years ago
c3287aafb3
Slight improvement in EfficientNet-B2 native PyTorch weights
6 years ago
b8762cc67d
Model updates. Add my best ResNet50 weights top-1=78.47. Add some other torchvision weights.
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* Remove some models that don't exist as pretrained an likely never will (se)resnext152
* Add some torchvision weights as tv_ for models that I have added better weights for
* Add wide resnet recently added to torchvision along with resnext101-32x8d
* Add functionality to model registry to allow filtering on pretrained weight presence
6 years ago
13c19e213d
Add native PyTorch EfficientNet B1 and B2 weights. Not quite where I want them, but hitting the brick wall and moving on to other projects...
6 years ago
8512436436
Add instagram pretrained ResNeXt models from https://pytorch.org/hub/facebookresearch_WSL-Images_resnext/ , update README
6 years ago
6fc886acaf
Remove all prints, change most to logging calls, tweak alignment of batch logs, improve setup.py
6 years ago
1019414fd2
Add ported Tensorflow EfficientNet B4/B5 weights
6 years ago
c6b8259ad6
Update README.md
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Add blurb about python environment
6 years ago
f3134973b5
Add the MnasNet-B1 variant weights, add A1/B1 model names as in the stand-alone repo, remove a bit of unused code
6 years ago
2060e433c0
Add native PyTorch weights for SE-MnasNet aka MnasNet-A1
6 years ago
7d17394bdc
Add native PyTorch weights for EfficientNet-B0 w/ top-1 > 76.9
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* also add pooling details to default cfg for efficiennets so testtimepool wrapper works
6 years ago
105d5702d7
Update README.md
6 years ago
6688d0669f
PyTorch trained MobileNetV3 weights that match/best paper. Update fbnetc weights to improved copy.
6 years ago
b32361c9f8
Correct name
6 years ago
99122aac1c
Replace ResNet-34 default weights with a great result from my experiments.
6 years ago
4bb5e9b224
Ported Tensorflow pretrained EfficientNet weights and some model cleanup
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* B0-B3 weights ported from TF with close to paper accuracy
* Renamed gen_mobilenet to gen_efficientnet since scaling params go well beyond 'mobile' specific
* Add Tensorflow preprocessing option for closer images to source repo
6 years ago
7a6d61566e
Add EfficientNet impl, change existing depth_multipler -> channel_multiplier as definitions have been confused
6 years ago
99ab1b1276
Update README.md
6 years ago
c2de3a922b
Update README.md
6 years ago
2da0b4dbc1
Add inception_v3 models via torchvision, 4 different pretrained weight choices
6 years ago
af1a68d2e1
Update README.md
6 years ago
a4516fe0fb
Add pretrained weights for FBNet-C
6 years ago
a72e9b67ee
Update README.md
6 years ago
e3377b0409
Add some info to README
6 years ago
fee607edf6
Mixup implemention in progress
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* initial impl w/ label smoothing converging, but needs more testing
6 years ago
Ross Wightman