PyTorch Implementations of Dropout Variants
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Updated
Jan 7, 2018 - Jupyter Notebook
PyTorch Implementations of Dropout Variants
A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
Sparse Variational Dropout a a Minimal Working Example
A paper on experimenting with complex-valued networks and complex var dropout.
The extension of torch.nn.LSTMCell
Sparse variational droput in tensorflow2
Feature Ranking by Variational Dropout Using Thermograms from Diabetic Foot Ulcers
Reimplementation of Sparse Variational Dropout in Keras-Core/Keras 3.0
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