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[P] EfficientNet in PyTorch

TL;DR: Implemented EfficientNet in PyTorch: https://github.com/lukemelas/EfficientNet-PyTorch

I found EfficientNet to be quite an exciting paper, so I implemented it in PyTorch over the past two days. The implementation makes it simple to load pretrained models and integrate them into your own projects/research/models. GitHub: https://github.com/lukemelas/EfficientNet-PyTorch

There are multiple examples in the GitHub repo and here is one on Colab. It’s as quick as

from efficientnet_pytorch import EfficientNet model = EfficientNet.from_pretrained('efficientnet-b0') 

And you can install it via pip if you would like:

pip install efficientnet_pytorch 

Finally, there are scripts to evaluate on ImageNet (with training scripts coming soon) and there’s functionality to easily extract image features.

Let me know (either here or on GitHub) if you have any comments or find any bugs. I hope some of you find it useful!

submitted by /u/LukeAndGeorge
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.