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README.md

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@@ -32,7 +32,7 @@ I've included a few of my favourite models, but this is not an exhaustive collec
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* DPN (from [me](https://github.com/rwightman/pytorch-dpn-pretrained), weights hosted by Cadene)
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* DPN-68, DPN-68b, DPN-92, DPN-98, DPN-131, DPN-107
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* Generic EfficientNet (from my standalone [GenMobileNet](https://github.com/rwightman/genmobilenet-pytorch)) - A generic model that implements many of the efficient models that utilize similar DepthwiseSeparable and InvertedResidual blocks
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* EfficientNet (B0-B5) (https://arxiv.org/abs/1905.11946) -- validated, compat with TF weights
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* EfficientNet (B0-B7) (https://arxiv.org/abs/1905.11946) -- validated, compat with TF weights
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* MixNet (https://arxiv.org/abs/1907.09595) -- validated, compat with TF weights
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* MNASNet B1, A1 (Squeeze-Excite), and Small (https://arxiv.org/abs/1807.11626)
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* MobileNet-V1 (https://arxiv.org/abs/1704.04861)

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