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## What's New
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### June 11, 2020
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Bunch of changes:
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* DenseNet models updated with memory efficient addition from torchvision (fixed a bug), blur pooling and deep stem additions
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* VoVNet V1 and V2 models added, 39 V2 variant (ese_vovnet_39b) trained to 79.3 top-1
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* Activation factory added along with new activations:
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* select act at model creation time for more flexibility in using activations compatible with scripting or tracing (ONNX export)
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* hard_mish (experimental) added with memory-efficient grad, along with ME hard_swish
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* context mgr for setting exportable/scriptable/no_jit states
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* Norm + Activation combo layers added with initial trial support in DenseNet and VoVNet along with impl of EvoNorm and InplaceAbn wrapper that fit the interface
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* Torchscript works for all but two of the model types as long as using Pytorch 1.5+, tests added for this
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* Some import cleanup and classifier reset changes, all models will have classifier reset to nn.Identity on reset_classifer(0) call
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* Prep for 0.1.28 pip release
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### May 12, 2020
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* Add ResNeSt models (code adapted from https://github.com/zhanghang1989/ResNeSt, paper https://arxiv.org/abs/2004.08955))
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