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[Project] Keras implementations of Attention-based BatchNormalization papers

Hello guys,

I have recently implemented two papers about attention-based BatchNormalization.

2) Attentive Normalization :

Arxiv link : https://arxiv.org/abs/1908.01259

Official Pytorch implementation : Not yet released but will be available here https://github.com/ivMCL/AttentiveNorm

My Keras implementation : https://github.com/Cyril9227/Keras_AttentiveNormalization

2) Instance Enhancement Batch Normalization :

Arxiv link : https://arxiv.org/abs/1908.01259

Official Pytorch implementation : https://github.com/gbup-group/IEBN

My Keras implementation : https://github.com/Cyril9227/Keras_IEBN

Both implementations work as a simple droppin replacement of standard BatchNorm layer. Any feedbacks are welcome !

Thank’s 🙂

submitted by /u/cyril_9227
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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.