dropout topic

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, scATAC-seq, CITE-Seq and Spatial Transcriptom...

rezakj

Educational deep learning library in plain Numpy.

parasdahal

Satania IS the BEST waifu, no really, she is, if you don't believe me, this website will convince you

Pizzacus

Complementary code for the Targeted Dropout paper

for-ai

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

hwalsuklee

repo that holds code for improving on dropout using Stochastic Delta Rule

noahfl

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

seba-1511

My workshop on machine learning using python language to implement different algorithms

snrazavi

[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

VITA-Group

Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.

ahmedfgad