7b83e67f77
Pass drop connect arg through to EfficientNet models
2019-11-22 13:27:43 -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
4243f076f1
Adding RandAugment to AutoAugment impl, some tweaks to AA included
2019-11-21 21:14:33 -08:00
4748c6dff2
Fix non-prefetch variant of Mixup. Fixes #50
2019-11-02 17:42:55 -07:00
0d58c50fb1
Add TF RandAug weights for B5/B7 EfficientNet models.
2019-10-30 16:49:17 -07:00
62105ed4a0
Better differentiate sotabench WSL, SSL, and SWSL models via model_desc
2019-10-20 13:17:25 -07:00
c099374771
Map pretrained checkpoint to cpu to avoid issue with some pretrained checkpoints still having CUDA tensors. Fixes #42
2019-10-19 17:27:46 -07:00
b93fcf0708
Add Facebook Research Semi-Supervised and Semi-Weakly Supervised ResNet model weights.
2019-10-19 17:05:37 -07:00
a9eb484835
Add memory efficient Swish impl
2019-10-19 14:48:30 -07:00
187ecbafbe
Add support for loading args from yaml file (and saving them with each experiment)
2019-09-09 17:56:45 -07:00
d3ba34ee7e
Fix Mobilenet V3 model name for sotabench. Minor res2net cleanup.
2019-09-05 15:47:56 -07:00
b5a8bb52fd
Silly typos.
2019-09-04 21:36:58 -07:00
7dc5d7a997
sotabench fail
2019-09-04 19:15:36 -07:00
96364fc336
Merge pull request #35 from rwightman/res2net_dla
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Add Res2net and DLA models. Update sotabench.
2019-09-04 17:41:50 -07:00
2680ad14bb
Add Res2Net and DLA to README
2019-09-04 17:38:59 -07:00
adbf770f16
Add Res2Net and DLA models w/ pretrained weights. Update sotabench.
2019-09-04 17:06:42 -07:00
7fd0857bfe
Merge pull request #33 from rwightman/autoaugment
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Add AutoAugment ImageNet policies for training
2019-09-01 22:10:03 -07:00
4002c0d4ce
Fix AutoAugment abs translate calc
2019-09-01 22:07:45 -07:00
c06274e5a2
Add note on random selection of magnitude value
2019-09-01 20:32:26 -07:00
b750b76f67
More AutoAugment work. Ready to roll...
2019-09-01 16:55:42 -07:00
25d2088d9e
Working on auto-augment
2019-08-31 23:09:48 -07:00
aff194f42c
Merge pull request #32 from rwightman/opt
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More optimizer work
2019-08-29 15:26:15 -07:00
64966f61f7
Add Nvidia's NovogGrad impl from Jasper (cleaner/faster than current) and Apex Fused optimizers
2019-08-29 15:21:38 -07:00
3d9c8a6489
Add support for new AMP checkpointing support w/ amp.state_dict
2019-08-29 15:19:18 -07:00
ba3c97c3ad
Some Lookahead cleanup and fixes
2019-08-29 15:14:35 -07:00
5c6da1c55a
Experiment with sotabench model_description field.
2019-08-28 21:34:39 -07:00
e9d2ec4d8e
Merge pull request #31 from rwightman/opt
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Optimizers and more
2019-08-28 00:20:39 -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
81875d52a6
Update sotabench model list, add Mean-Max pooling DPN variants, disable download progress
2019-08-27 00:07:32 -07:00
f37e633e9b
Merge remote-tracking branch 'origin/re-exp' into opt
2019-08-26 14:29:23 -07:00
b06dce8d71
Bump version for next push to pypi
2019-08-25 22:32:12 -07:00
32a0ca03c8
Update csv results files
2019-08-25 22:27:14 -07:00
dc0630fd94
Merge pull request #30 from rwightman/mixnet_xl
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MixNet-XL
2019-08-24 19:59:11 -07:00
73fbd97ed4
Add weights for my MixNet-XL creation, include README updates for EdgeTPU models
2019-08-24 19:57:42 -07:00
51a2375b0c
Experimenting with a custom MixNet-XL and MixNet-XXL definition
2019-08-24 19:57:42 -07:00
9816ca3ab4
Add EdgeTPU models to sotabench, remove some unicode chars from model names
2019-08-24 14:42:51 -07:00
9ec6824bab
Finally got around to adding EdgeTPU EfficientNet variant
2019-08-24 13:39:49 -07:00
daeaa113e2
Add initial sotabench attempt. Split create_transform out of create_loader. Update requirements.txt
2019-08-12 23:06:19 -07:00
66634d2200
Add support to split random erasing blocks into randomly selected number with --recount arg. Fix random selection of aspect ratios.
2019-08-12 16:01:58 -07:00
6946281fde
Experimenting with random erasing changes
2019-08-12 16:01:58 -07:00
aeaaad7304
Merge pull request #24 from rwightman/gluon_xception
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Port Gluon Aligned Xception models
2019-08-11 23:08:21 -07:00
3b4868f6dc
A few more additions to Gluon Xception models to match interface of others.
2019-08-11 23:06:23 -07:00
f937e2a600
Merge pull request #23 from aovoc/patch-1
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Update helpers.py
2019-08-10 15:47:40 -07:00
4d505e0785
Add working Gluon Xception-65 model. Some cleanup still needed.
2019-08-10 13:52:01 -07:00
4e7a854dd0
Update helpers.py
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Fixing out of memory error by loading the checkpoint onto the CPU.
2019-08-11 04:21:39 +08:00
0c874195db
Update results csv files, bump version for timm pip release
2019-08-05 11:33:17 -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
Ross Wightman
Ross Wightman
Minqin Chen