dropout

There are 2 repositories under dropout topic.

MorvanZhou / PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
neural-network python pytorch-tutorial batch-normalization cnn rnn autoencoder pytorch regression classification batch tutorial dropout dqn reinforcement-learning gan generative-adversarial-network machine-learning pytorch-tutorials
Language:Jupyter Notebook 7971
MorvanZhou / Tensorflow-Tutorial
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
tensorflow tensorflow-tutorials gan generative-adversarial-network rnn cnn classification regression autoencoder deep-q-network dqn machine-learning tutorial dropout neural-network
Language:Python 4320
Pizzacus / satania.moe
Satania IS the BEST waifu, no really, she is, if you don't believe me, this website will convince you
anime satan satania best waifu gabriel dropout please do not bulli her thx
Language:HTML 600
miguelvr / dropblock
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
machine-learning computer-vision pytorch regularization convolutional-neural-networks dropblock pytorch-implementation dropout
Language:Python 581
parasdahal / deepnet
Educational deep learning library in plain Numpy.
cnn dropout batch-normalization adagrad adam-optimizer nesterov-accelerated-sgd
Language:Python 319
JonathanRaiman / theano_lstm
:microscope: Nano size Theano LSTM module
machine-learning recurrent-networks theano python lstm gru adadelta dropout automatic-differentiation neural-network tutorial
Language:Python 304
Jackpopc / aiLearnNotes
Artificial Intelligence Learning Notes.
activation-function alexnet cnn computer-vision deep-learning dpm dropout harris hog image-augmentation image-denoising image-enhancement image-processing image-segmentation lenet machine-learning reinforcement-learning sift tensorflow vgg
Language:Python 262
for-ai / Targeted-Dropout
Complementary code for the Targeted Dropout paper
dropout deep-learning targeted-dropout tensorflow
Language:Python 259
hwalsuklee / tensorflow-mnist-cnn
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
tensorflow mnist-classification mnist cnn ensemble-prediction data-augmentation dropout batch-normalization
Language:Python 196
noahfl / densenet-sdr
repo that holds code for improving on dropout using Stochastic Delta Rule
dropout neural-network deep-learning deep-neural-networks statistics
Language:Python 142
seba-1511 / lstms.pth
PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
dropout lstm pytorch gal moon rnn
Language:Python 136
lonePatient / daguan_2019_rank9
datagrand 2019 information extraction competition rank9
bert ie information-extraction ner lstm crf span dropout lookahead pytorch train-bert ngram
Language:Python 131
ivannz / cplxmodule
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
pytorch complex-networks variational-bayes dropout sparsification
Language:Python 128
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
graph-neural-networks deep-graph-library deep-graph-networks ogb skip-connections normalization dropout benchmark training-tricks
Language:Python 126
jiro-nn
AnicetNgrt / jiro-nn
A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
adam classification dropout machine-learning ml nalgebra neural-networks nn pipelines regression rust sgd data-analysis cuda deep-learning gpu gpu-computing opencl
Language:Rust 118
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)).
singel-cell-sequencing clustering-algorithm clustering normalization umap pseudotime scrna-seq scvdj-seq cite-seq 3d intractive-graph 10xgenomics dropout batch-normalization imputation diffusion-maps cell-type-classification icellr
Language:R 116
snrazavi / Machine-Learning-in-Python-Workshop
My workshop on machine learning using python language to implement different algorithms
machine-learning numpy matplotlib scikit-learn linear-classification workshop machine-learning-workshop softmax gradient-descent neural-networks backpropagation dropout batch-normalization optimization-algorithms deep-learning convolutional-neural-networks keras python
Language:Jupyter Notebook 116
j-min / Dropouts
PyTorch Implementations of Dropout Variants
dropout gaussian-dropout variational-dropout variational-inference local-reparametrization-trick bayesian-neural-networks pytorch
Language:Jupyter Notebook 86
Randl / DropBlock-pytorch
Implementation of DropBlock in Pytorch
pytorch pytorch-implementation dropblock dropout
Language:Python 80
anassinator / bnn
Bayesian Neural Network in PyTorch
pytorch bayesian-neural-networks neural-network artificial-intelligence bayesian-inference bnn dropout concrete-dropout
Language:Python 75
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 dropout lstm mnist lenet neural-turing-machines question-answering computational-graphs auto-differentiation convolutional-neural-networks convolutional-networks recurrent-neural-networks lstm-model deep-learning deep-q-network reinforcement-learning cartpole
Language:Python 74
KlugerLab / ALRA
Imputation method for scRNA-seq based on low-rank approximation
scrna-seq svd imputation dropout matrix-completion
Language:R 69
georgezoto / TensorFlow-in-Practice
TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf
deep-learning neural-networks tensorflow computer-vision convolutional-neural-networks kaggle data-augmentation dropout multiclass-classification overfitting natural-language-processing timeseries-forecasting trivia-game tensorflow-developer-certificate
Language:Jupyter Notebook 63
aditya9211 / SVHN-CNN
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
cnn grayscale-images svhn-classifier svhn convolutional-neural-networks computer-vision convolutional-neural-network house-numbers google-street confusion-matrix mnist dropout one-hot-encode tesnorflow machine-learning adam-optimizer mini-batch-gradient-descent tensorboard-visualizations
Language:Jupyter Notebook 62
ahmedfgad / CIFAR10CNNFlask
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
convnet cnn convolutional-neural-network computer-vision image-processing image-classification python flask web-application http javascript css html tensorflow relu max-pooling fully-connected-network dropout
Language:Python 61
emilwallner / Deep-Learning-101
The tools and syntax you need to code neural networks from day one.
deep-learning tflearn dropout regularization machine-learning
Language:Jupyter Notebook 59
sungyubkim / MCDO
A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
bayesian-neural-networks bayesian-deep-learning variational-inference dropout variational-dropout uncertainty-neural-networks pytorch monte-carlo-dropout
Language:Jupyter Notebook 52
xuwd11 / Dropout_Tutorial_in_PyTorch
Dropout as Regularization and Bayesian Approximation
deep-learning dropout pytorch
Language:Jupyter Notebook 52
kefirski / variational_dropout
Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
pytorch paper neural-network machine-learning bayesian-inference posterior-probability dropout local-reparametrization-trick python
Language:Python 49
hwalsuklee / numpy-neuralnet-exercise
Implementation of key concepts of neuralnetwork via numpy
neural-network deeplearning numpy cross-entropy-loss sgd relu mnist numpy-neuralnet-exercise regularization dropout xavier-initializer cnn
Language:Python 48
minihat / LoL-Match-Prediction
Win probability predictions for League of Legends matches using neural networks
league-of-legends neural-network big-data video-game artificial-intelligence dropout batch-normalization match-prediction
Language:Python 44
srinadhu / CS231n
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
convolutional-neural-networks knn svm softmax-classifier batchnorm dropout cifar10 pytorch rnn numpy lstm image-captioning coco-dataset network-visualization saliency-map fooling-images class-visualization style-transfer gan cs231n-assignment
Language:Jupyter Notebook 40
VITA-Group / Random-MoE-as-Dropout
[ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang
transformer dropout moe self-slimmable
Language:Python 40
da-molchanov / variance-networks
Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
deep-learning dropout variance-networks iclr2019
Language:Python 39
zmyzheng / Neural-Networks-and-Deep-Learning
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai
tensorflow keras face-recognition neural-style-transfer autonomous-driving yolo music-generation translation speech-recognition natural-language-processing cnn rnn lstm adam dropout batchnorm xavier-he-initialization hyperparameter-tuning regularization residual-networks
Language:Jupyter Notebook 37
RabadanLab / randomly
A Library for Denoising Single-Cell Data with Random Matrix Theory
single-cell data-analysis random-matrix-theory sparsity denoising dropout single-cell-omics single-cell-rna-seq single-cell-analysis
Language:Jupyter Notebook 36

dropout

MorvanZhou / PyTorch-Tutorial

MorvanZhou / Tensorflow-Tutorial

Pizzacus / satania.moe

miguelvr / dropblock

parasdahal / deepnet

JonathanRaiman / theano_lstm

Jackpopc / aiLearnNotes

for-ai / Targeted-Dropout

hwalsuklee / tensorflow-mnist-cnn

noahfl / densenet-sdr

seba-1511 / lstms.pth

lonePatient / daguan_2019_rank9

ivannz / cplxmodule

VITA-Group / Deep_GCN_Benchmarking

AnicetNgrt / jiro-nn

rezakj / iCellR

snrazavi / Machine-Learning-in-Python-Workshop

j-min / Dropouts

Randl / DropBlock-pytorch

anassinator / bnn

thtrieu / essence

KlugerLab / ALRA

georgezoto / TensorFlow-in-Practice

aditya9211 / SVHN-CNN

ahmedfgad / CIFAR10CNNFlask

emilwallner / Deep-Learning-101

sungyubkim / MCDO

xuwd11 / Dropout_Tutorial_in_PyTorch

kefirski / variational_dropout

hwalsuklee / numpy-neuralnet-exercise

minihat / LoL-Match-Prediction

srinadhu / CS231n

VITA-Group / Random-MoE-as-Dropout

da-molchanov / variance-networks

zmyzheng / Neural-Networks-and-Deep-Learning

RabadanLab / randomly