Single (i) Cell R package (iCellR) is an interactive R package to work w...
My workshop on machine learning using python language to implement diffe...
PyTorch Implementations of Dropout Variants
Implementation of DropBlock in Pytorch
Bayesian Neural Network in PyTorch
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Mac...
Imputation method for scRNA-seq based on low-rank approximation
Google Street View House Number(SVHN) Dataset, and classifying them thro...
TensorFlow in Practice Specialization. Join our Deep Learning Adventures...
Building a HTTP-accessed convolutional neural network model using Tensor...
The tools and syntax you need to code neural networks from day one.
Dropout as Regularization and Bayesian Approximation
Implementation of "Variational Dropout and the Local Reparameterization ...
Implementation of key concepts of neuralnetwork via numpy
Win probability predictions for League of Legends matches using neural n...