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dropout

Here are 198 public repositories matching this topic...

MorvanZhou / PyTorch-Tutorial

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

python machine-learning tutorial reinforcement-learning neural-network regression cnn pytorch batch dropout generative-adversarial-network gan batch-normalization dqn classification rnn autoencoder pytorch-tutorial pytorch-tutorials

Updated Feb 1, 2023
Jupyter Notebook

MorvanZhou / Tensorflow-Tutorial

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

machine-learning tutorial neural-network tensorflow regression cnn dropout generative-adversarial-network gan dqn classification rnn autoencoder tensorflow-tutorials deep-q-network

Updated Oct 31, 2020
Python

Pizzacus / satania.moe

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

anime best dropout do waifu satan gabriel not please thx satania bulli her

Updated Oct 9, 2022
HTML

miguelvr / dropblock

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

machine-learning computer-vision pytorch dropout regularization convolutional-neural-networks pytorch-implementation dropblock

Updated Jul 29, 2020
Python

parasdahal / deepnet

Educational deep learning library in plain Numpy with no autograd!

cnn dropout batch-normalization adagrad adam-optimizer nesterov-accelerated-sgd

Updated Jun 21, 2022
Python

JonathanRaiman / theano_lstm

🔬 Nano size Theano LSTM module

python machine-learning tutorial theano neural-network automatic-differentiation recurrent-networks lstm gru adadelta dropout

Updated Nov 16, 2016
Python

for-ai / Targeted-Dropout

Complementary code for the Targeted Dropout paper

deep-learning tensorflow dropout targeted-dropout

Updated Sep 26, 2019
Python

Jackpopc / aiLearnNotes

Artificial Intelligence Learning Notes.

Updated Nov 21, 2022
Python

hwalsuklee / tensorflow-mnist-cnn

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

tensorflow cnn dropout mnist batch-normalization mnist-classification data-augmentation ensemble-prediction

Updated Jul 26, 2018
Python

noahfl / densenet-sdr

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

statistics deep-neural-networks deep-learning neural-network dropout

Updated Feb 10, 2019
Python

lonePatient / daguan_2019_rank9

datagrand 2019 information extraction competition rank9

crf pytorch information-extraction lstm dropout ie ngram span ner bert lookahead train-bert

Updated Dec 29, 2019
Python

seba-1511 / lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

pytorch lstm dropout moon rnn gal

Updated May 7, 2021
Python

rezakj / 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, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).

clustering dropout batch-normalization imputation scrna-seq diffusion-maps clustering-algorithm 3d umap normalization 10xgenomics cell-type-classification intractive-graph cite-seq singel-cell-sequencing pseudotime scvdj-seq icellr

Updated Jun 20, 2022
R

ivannz / cplxmodule

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

pytorch dropout complex-networks variational-bayes sparsification

Updated Jun 14, 2022
Python

snrazavi / Machine-Learning-in-Python-Workshop

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

python machine-learning workshop deep-learning numpy scikit-learn keras dropout batch-normalization neural-networks matplotlib convolutional-neural-networks gradient-descent backpropagation optimization-algorithms softmax machine-learning-workshop linear-classification

Updated Jan 24, 2020
Jupyter Notebook

VITA-Group / Deep_GCN_Benchmarking

[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

benchmark dropout normalization skip-connections graph-neural-networks training-tricks deep-graph-library deep-graph-networks ogb

Updated Dec 29, 2021
Python

Randl / DropBlock-pytorch

Implementation of DropBlock in Pytorch

pytorch dropout pytorch-implementation dropblock

Updated Nov 4, 2018
Python

j-min / Dropouts

PyTorch Implementations of Dropout Variants

pytorch dropout variational-inference bayesian-neural-networks local-reparametrization-trick gaussian-dropout variational-dropout

Updated Jan 7, 2018
Jupyter Notebook

thtrieu / essence

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

machine-learning reinforcement-learning deep-learning recurrent-neural-networks lstm dropout mnist neural-turing-machines question-answering cartpole lstm-model lenet convolutional-networks convolutional-neural-networks deep-q-network computational-graphs auto-differentiation

Updated Feb 27, 2020
Python

anassinator / bnn

Bayesian Neural Network in PyTorch

neural-network pytorch artificial-intelligence dropout bayesian-inference bayesian-neural-networks bnn concrete-dropout

Updated Sep 14, 2019
Python

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