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Update README.md and bump version to 0.4.0
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README.md

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## What's New
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### Jan 25, 2021
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* Add ResNetV2 Big Transfer (BiT) models w/ ImageNet-1k and 21k weights from https://github.com/google-research/big_transfer
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* Add official R50+ViT-B/16 hybrid models + weights from https://github.com/google-research/vision_transformer
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* Add model defs and weights for DeiT Vision Transformer models from https://github.com/facebookresearch/deit
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* Refactor dataset classes into ImageDataset/IterableImageDataset + dataset specific parser classes
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* Add Tensorflow-Datasets (TFDS) wrapper to allow use of TFDS image classification sets with train script
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* Ex: `train.py /data/tfds --dataset tfds/oxford_iiit_pet --val-split test --model resnet50 -b 256 --amp --num-classes 37 --opt adamw --lr 3e-4 --weight-decay .001 --pretrained -j 2`
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* Add improved .tar dataset parser that reads images from .tar, folder of .tar files, or .tar within .tar
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* Run validation on full ImageNet-21k directly from tar w/ BiT model: `validate.py /data/fall11_whole.tar --model resnetv2_50x1_bitm_in21k --amp`
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* Models in this update should be stable w/ possible exception of ViT/BiT, possibility of some regressions with train/val scripts and dataset handling
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### Jan 3, 2021
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* Add SE-ResNet-152D weights
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* 256x256 val, 0.94 crop top-1 - 83.75
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* Big Transfer ResNetV2 (BiT) - https://arxiv.org/abs/1912.11370
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* CspNet (Cross-Stage Partial Networks) - https://arxiv.org/abs/1911.11929
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* DeiT (Vision Transformer) - https://arxiv.org/abs/2012.12877
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* DenseNet - https://arxiv.org/abs/1608.06993
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* DLA - https://arxiv.org/abs/1707.06484
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* DPN (Dual-Path Network) - https://arxiv.org/abs/1707.01629

timm/version.py

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__version__ = '0.3.3'
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__version__ = '0.4.0'

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