6e9d6172c8
A few typos and missed updates in changelog
2020-08-05 22:19:59 -07:00
1696499ce5
Bump version to 0.2.0, ready to roll (I think)
2020-08-05 16:55:18 -07:00
e62758cf4f
More documentation updates, fix a typo
2020-08-05 15:59:31 -07:00
5e333b899f
README / doc tweaks
2020-08-05 13:17:39 -07:00
e3f58fc90c
Continuing README and documentation updates
2020-08-05 10:38:35 -07:00
e3c11a36dc
Start updating README and docs
2020-08-04 16:55:02 -07:00
328339a086
Add ESE-VoVNet-19-DW weights
2020-06-15 14:31:55 -07:00
f225ae8e59
Update README with model results and attribution. Make scheduler factory bit more robust to arg differences, add noise to plateau lr and fix min/max.
2020-06-12 13:33:12 -07:00
39f27c1add
Almost ready to merge, vovnet typo, version bump, readme addition
2020-06-11 15:41:58 -07:00
208e7912f7
Missed one of the abalation model entrypoints, update README
2020-05-12 13:36:31 -07:00
f4cdc2ac31
Add ResNeSt models
2020-05-11 23:27:09 -07:00
353a79aeba
Update README.md
2020-05-03 21:24:49 -07:00
a4d20a1cb8
Update README.md
2020-05-01 19:22:35 -07:00
c99a5abed4
Merge pull request #115 from rwightman/mobilenetv2-experiment
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MobileNet-V2 experiments
2020-04-05 17:32:06 -07:00
e34074b4da
Add final weights for MobileNet-V2 experiments
2020-04-05 17:31:02 -07:00
5a16c533ff
Add better resnext50_32x4d weights trained by andravin
2020-03-18 14:43:50 -07:00
3406e582cf
Add EfficientNet-Lite results, update README
2020-03-18 13:12:30 -07:00
c16f25ced2
Add MobileNetV3 Large weights, results, update README and sotabench for merge
2020-02-29 20:37:20 -08:00
f1860ef3a5
Update README.md, check in hubconf experiment (fully dynamic)
2020-02-18 14:41:14 -08:00
b9496995d8
Add L2-475 PyTorch preprocessing result, update sotabench for new weights
2020-02-12 13:20:37 -08:00
ba15ca47e8
Add ported EfficientNet-L2, B0-B7 NoisyStudent weights from TF TPU
2020-02-12 11:26:38 -08:00
5eb0e363a6
Update README.md
2020-02-06 12:56:46 -08:00
5c4991a088
Add PyTorch trained EfficientNet-ES weights from Andrew Lavin
2020-02-06 12:53:55 -08:00
4808b3c32f
Bump version for PyPi update, fix few out of date README items/mistakes, add README updates for TF EfficientNet-B8 (RandAugment)
2020-02-03 11:44:17 -08:00
b18c19901e
Update README.md
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Typo
2020-01-31 10:59:31 -08:00
12dbc74742
New ResNet50 JSD + RandAugment weights
2020-01-31 10:55:54 -08:00
e39aae56b4
Update README.md
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Fix typo
2020-01-13 17:49:49 -08:00
7a17ee9c3b
Update README.md
2020-01-12 18:16:36 -08:00
2a88412413
Update README.md
2020-01-11 12:08:15 -08:00
cfa951bceb
Update README.md
2020-01-07 08:52:12 -08:00
7622015258
Update README.md
2020-01-04 11:51:38 -08:00
ec0dd4053a
Add updated RandAugment trained EfficientNet-B0 trained weights from @michaelklachko
2020-01-03 17:18:46 -08:00
a7fe891a13
Update README.md
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Update readme with SelecSLS details.
2019-12-30 16:32:49 -08:00
0554b7942c
Update README.md
2019-12-29 09:15:00 -08:00
53f578e16f
Update README with B3 training details
2019-12-28 17:51:08 -08:00
acc3ed2b8c
Add EfficientNet-B3 weights, trained from scratch with RA.
2019-12-28 17:24:15 -08:00
1f4498f217
Add ResNet deep tiered stem and model weights for seresnext26t_32x4d and seresnext26d_32x4d
2019-12-28 11:43:50 -08:00
73b78459dc
Add update RandAugment MixNet-XL weights
2019-12-24 10:08:24 -08:00
5d7af97981
Update README.md
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Update latest training hparam/command line with correct RandAugment config string (`noise` -> `mstd`)
2019-12-05 11:47:57 -08:00
3129bdb2c1
Update README.md
2019-12-04 11:13:25 -08:00
ff421e5e09
New PyTorch trained EfficientNet-B2 weights with my RandAugment impl
2019-12-04 11:09:47 -08:00
5259dbcbb4
Update README.md with latest changes
2019-11-29 17:58:33 -08:00
31453b039e
Update Auto/RandAugment comments, README, more.
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* Add a weighted choice option for RandAugment
* Adjust magnitude noise/std naming, config
2019-11-22 13:24:52 -08:00
0d58c50fb1
Add TF RandAug weights for B5/B7 EfficientNet models.
2019-10-30 16:49:17 -07:00
2680ad14bb
Add Res2Net and DLA to README
2019-09-04 17:38:59 -07:00
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
2019-08-28 00:14:10 -07:00
73fbd97ed4
Add weights for my MixNet-XL creation, include README updates for EdgeTPU models
2019-08-24 19:57:42 -07:00
3b4868f6dc
A few more additions to Gluon Xception models to match interface of others.
2019-08-11 23:06:23 -07:00
9b35818811
Update README.md
2019-08-03 09:32:08 -07:00
4fe2da558c
Add MixNet Small and Large PyTorch native weights (no same padding)
2019-08-02 23:22:48 -07:00
15e66863b1
Update README.md
2019-07-31 14:41:31 -07:00
e879cf52fa
Update validation scores for new TF EfficientNet weights.
2019-07-31 14:38:55 -07:00
b35050a144
Update README.md
2019-07-30 18:33:40 -07:00
857f33015a
Add native PyTorch weights for MixNet-Medium with no SAME padding necessary. Remove unused block of code.
2019-07-29 11:59:15 -07:00
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
2019-07-25 11:42:01 -07:00
d97510fd4a
Add new results csv and update README with 3 new ResNet weight results
2019-07-20 08:45:05 -07:00
5684c6af32
Update README.md
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Add blurb about results csv
2019-07-04 10:52:03 -07:00
a6b2f6eca5
Update README, bump version
2019-07-03 22:48:33 -07:00
c3287aafb3
Slight improvement in EfficientNet-B2 native PyTorch weights
2019-06-29 16:17:29 -07:00
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
2019-06-29 15:50:33 -07:00
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...
2019-06-24 13:12:04 -07:00
8512436436
Add instagram pretrained ResNeXt models from https://pytorch.org/hub/facebookresearch_WSL-Images_resnext/ , update README
2019-06-23 12:29:02 -07:00
6fc886acaf
Remove all prints, change most to logging calls, tweak alignment of batch logs, improve setup.py
2019-06-20 17:29:25 -07:00
1019414fd2
Add ported Tensorflow EfficientNet B4/B5 weights
2019-06-18 09:50:36 -07:00
c6b8259ad6
Update README.md
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Add blurb about python environment
2019-06-14 10:51:54 -07:00
f3134973b5
Add the MnasNet-B1 variant weights, add A1/B1 model names as in the stand-alone repo, remove a bit of unused code
2019-06-14 09:08:02 -07:00
2060e433c0
Add native PyTorch weights for SE-MnasNet aka MnasNet-A1
2019-06-11 08:54:54 -07:00
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
2019-06-10 13:11:36 -07:00
105d5702d7
Update README.md
2019-06-04 10:23:36 -07:00
6688d0669f
PyTorch trained MobileNetV3 weights that match/best paper. Update fbnetc weights to improved copy.
2019-06-04 09:51:05 -07:00
b32361c9f8
Correct name
2019-06-03 20:33:04 +10:00
99122aac1c
Replace ResNet-34 default weights with a great result from my experiments.
2019-05-31 10:42:46 -07:00
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
2019-05-30 17:55:35 -07:00
7a6d61566e
Add EfficientNet impl, change existing depth_multipler -> channel_multiplier as definitions have been confused
2019-05-29 23:32:52 -07:00
99ab1b1276
Update README.md
2019-05-26 18:48:35 -07:00
c2de3a922b
Update README.md
2019-05-26 18:46:12 -07:00
2da0b4dbc1
Add inception_v3 models via torchvision, 4 different pretrained weight choices
2019-05-23 11:07:06 -07:00
af1a68d2e1
Update README.md
2019-05-20 14:55:56 -07:00
a4516fe0fb
Add pretrained weights for FBNet-C
2019-05-20 11:05:25 -07:00
a72e9b67ee
Update README.md
2019-05-18 22:27:42 -07:00
e3377b0409
Add some info to README
2019-05-15 09:54:07 -07:00
fee607edf6
Mixup implemention in progress
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* initial impl w/ label smoothing converging, but needs more testing
2019-05-13 19:05:40 -07:00
db056d97e2
Add MobileNetV3 and associated changes hard-swish, hard-sigmoid, efficient head, etc
2019-05-10 23:28:13 -07:00
0956cd4b66
Update README.md
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Add notes for latest mobile model weights...
2019-04-28 18:06:20 -07:00
1cf3ea0467
Update README.md
2019-04-21 16:49:00 -07:00
073d31a076
Update README.md
2019-04-14 15:19:58 -07:00
7ba78aaaeb
Update README.md
2019-04-14 15:14:37 -07:00
e8e8bce335
Create README.md
2019-04-14 15:10:52 -07:00
Ross Wightman
Ross Wightman
Zhun Zhong