dropout topic

Bayesian Neural Network in PyTorch

anassinator

Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))

fahadm

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

thtrieu

PyTorch Implementations of Dropout Variants

j-min

Build your neural network easy and fast, 莫烦Python中文教学

MorvanZhou

Artificial Intelligence Learning Notes.

Jackpopc

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

MorvanZhou

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

miguelvr

datagrand 2019 information extraction competition rank9

lonePatient

:microscope: Nano size Theano LSTM module

JonathanRaiman