Top 25 dropout open source projects

Targeted Dropout
Complementary code for the Targeted Dropout paper
Tensorflow Mnist Cnn
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
Densenet Sdr
repo that holds code for improving on dropout using Stochastic Delta Rule
Daguan 2019 rank9
datagrand 2019 information extraction competition rank9
Lstms.pth
PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
Icellr
Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, ST and CITE-seq).
Deep Learning 101
The tools and syntax you need to code neural networks from day one.
Cplxmodule
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
Svhn Cnn
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
Variance Networks
Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
Satania.moe
Satania IS the BEST waifu, no really, she is, if you don't believe me, this website will convince you
Dropblock
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
Deepnet
Implementation of CNNs, RNNs, and many deep learning techniques in plain Numpy.
ALRA
Imputation method for scRNA-seq based on low-rank approximation
1-25 of 25 dropout projects