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dropout

Here are 153 public repositories matching this topic...

MorvanZhou / PyTorch-Tutorial

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Build your neural network easy and fast

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

Updated Jun 8, 2020
Jupyter Notebook

MorvanZhou / Tensorflow-Tutorial

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Tensorflow tutorial from basic to hard

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

Updated Aug 5, 2020
Python

Pizzacus / satania.moe

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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 Jul 30, 2020
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miguelvr / dropblock

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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

JonathanRaiman / theano_lstm

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🔬 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

parasdahal / deepnet

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Implementations of CNNs, RNNs and deep learning techniques in pure Numpy

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

Updated May 16, 2020
Python

for-ai / Targeted-Dropout

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Complementary code for the Targeted Dropout paper

deep-learning tensorflow dropout targeted-dropout

Updated Sep 26, 2019
Python

hwalsuklee / tensorflow-mnist-cnn

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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

Jackpopc / aiLearnNotes

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Artificial Intelligence Learning Notes.

Updated Jan 28, 2020
Python

noahfl / densenet-sdr

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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

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达观信息提取比赛第九名代码

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

Updated Dec 29, 2019
Python

seba-1511 / lstms.pth

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PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

pytorch lstm dropout moon rnn gal

Updated Mar 29, 2019
Python

Randl / DropBlock-pytorch

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Implementation of DropBlock in Pytorch

pytorch dropout pytorch-implementation dropblock

Updated Nov 4, 2018
Python

thtrieu / essence

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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

rezakj / iCellR

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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 and CITE-seq).

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 Aug 21, 2020
R

j-min / Dropouts

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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

ahmedfgad / CIFAR10CNNFlask

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

javascript css python html http flask computer-vision tensorflow convnet image-processing cnn web-application dropout image-classification convolutional-neural-network fully-connected-network max-pooling relu

Updated May 2, 2018
Python

emilwallner / Deep-Learning-101

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The tools and syntax you need to code neural networks from day one.

machine-learning deep-learning dropout regularization tflearn

Updated Sep 25, 2017
Jupyter Notebook

snrazavi / Machine-Learning-in-Python-Workshop

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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

aditya9211 / SVHN-CNN

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Google Street View House Number(SVHN) Dataset, and classifying them through CNN

machine-learning computer-vision cnn dropout mnist svhn convolutional-neural-networks confusion-matrix google-street convolutional-neural-network tensorboard-visualizations tesnorflow svhn-classifier grayscale-images house-numbers adam-optimizer mini-batch-gradient-descent one-hot-encode

Updated Mar 4, 2018
Jupyter Notebook

hwalsuklee / numpy-neuralnet-exercise

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Implementation of key concepts of neuralnetwork via numpy

neural-network numpy cnn dropout mnist sgd regularization deeplearning xavier-initializer relu cross-entropy-loss numpy-neuralnet-exercise

Updated Feb 6, 2018
Python

kefirski / variational_dropout

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Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch

python machine-learning neural-network paper pytorch dropout bayesian-inference posterior-probability local-reparametrization-trick

Updated Nov 3, 2017
Python

anassinator / bnn

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Bayesian Neural Network in PyTorch

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

Updated Sep 14, 2019
Python

da-molchanov / variance-networks

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Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019

deep-learning dropout variance-networks iclr2019

Updated Jan 31, 2020
Python

ivannz / cplxmodule

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

pytorch dropout complex-networks variational-bayes sparsification

Updated Aug 16, 2020
Python

KlugerLab / ALRA

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Imputation method for scRNA-seq based on low-rank approximation

dropout imputation scrna-seq svd matrix-completion

Updated Aug 10, 2019
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fahadm / Bayesian-Active-Learning-Pytorch

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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/))

machine-learning neural-network pytorch dropout bayesian-networks active-learning

Updated Mar 30, 2020
Jupyter Notebook

vinsis / understanding-neuralnetworks-pytorch

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Understanding nuts and bolts of neural networks with PyTorch

tutorial neural-network pytorch dropout pytorch-tutorial

Updated Jul 4, 2020

minihat / LoL-Match-Prediction

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Win probability predictions for League of Legends matches using neural networks

big-data neural-network league-of-legends video-game artificial-intelligence dropout batch-normalization match-prediction

Updated Jul 18, 2020
Python

CyberZHG / keras-drop-block

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DropBlock implemented in Keras

cv keras dropout regularizer

Updated May 17, 2020
Python

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