batch-normalization

There are 3 repositories under batch-normalization topic.

MorvanZhou / PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
autoencoder batch batch-normalization classification cnn dqn dropout gan generative-adversarial-network machine-learning neural-network python pytorch pytorch-tutorial pytorch-tutorials regression reinforcement-learning rnn tutorial
Language:Jupyter Notebook 7998
cvjena / cnn-models
ImageNet pre-trained models with batch normalization for the Caffe framework
cnn-model resnet imagenet alexnet batch-normalization caffe-framework vgg16 vgg19 vggnet vgg resnet-10 resnet-50 resnet-preact ilsvrc pretrained-models pre-trained fine-tune fine-tuning-cnns very-deep-cnn caffe
Language:Python 361
anish-lakkapragada / SeaLion
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
machine-learning python data-science machine-learning-python data-analysis modeling neural-networks k-nearest-neighbors unsupervised-learning dbscan-clustering kmeans-clustering regression-algorithms batch-normalization algorithms
Language:Python 333
parasdahal / deepnet
Educational deep learning library in plain Numpy.
cnn dropout batch-normalization adagrad adam-optimizer nesterov-accelerated-sgd
Language:Python 319
twke18 / Adaptive_Affinity_Fields
Adaptive Affinity Fields for Semantic Segmentation
computer-vision deep-learning affinity-fields semantic-segmentation batch-normalization multi-gpus
Language:Python 260
AdalbertoCq / Deep-Learning-Specialization-Coursera
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
batch-normalization convolutional-networks coursera deep-learning neural-network optimization regularization
Language:Jupyter Notebook 249
tamakoji / pytorch-syncbn
Synchronized Multi-GPU Batch Normalization
synchronized-batchnorm pytorch deep-learning batch-normalization
Language:Python 223
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
Oulu-IMEDS / pytorch_bn_fusion
Batch normalization fusion for PyTorch
pytorch inference-optimization batch-normalization deep-learning deep-neural-networks
Language:Python 194
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 118
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
lyttonhao / Neural-Style-MMD
MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)
batch-normalization maximum-mean-discrepancy neural-style
Language:Python 83
mkeid / Feed-Forward-Style-Transfer
TensorFlow implementation of real-time style transfer using feed-forward generation. This builds on the original style-transfer algorithm and allows for common personal computers to transform images.
tensorflow style-transfer vgg batch-normalization machine-learning neural-network computer-graphics
Language:Python 78
stevenobadja / math_object_detection
An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
tensorflow-models object-detection math-operation linear-algebra python python3 ssd-mobilenet detection detection-model coco relu tensorflow tensorflow-tutorials tensorflow-experiments tensorflow-examples batch-normalization
Language:Python 63
soloice / mnist-bn
Using slim to perform batch normalization
batch-normalization slim tensorflow
Language:Python 60
VITA-Group / BNN_NoBN
[CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
binary-neural-networks batch-normalization normalization-free-training normalizer-free weight-standardization adaptive-gradient-clipping
Language:Python 54
hwalsuklee / tensorflow-mnist-MLP-batch_normalization-weight_initializers
MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.
tensorflow mnist mnist-classification batch-normalization weight-initializers xavier he-initializer xavier-initializer he
Language:Python 52
VITA-Group / Sandwich-Batch-Normalization
[WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tianlong Chen and Zhangyang Wang
neural-architecture-search gan style-transfer adversarial-training batch-normalization normalization sandwich-batch-normalization sabn nas pytorch
Language:Python 50
minihat / LoL-Match-Prediction
Win probability predictions for League of Legends matches using neural networks
artificial-intelligence batch-normalization big-data dropout league-of-legends match-prediction neural-network video-game
Language:Python 43
adityab / CrossQ
Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
batch-normalization reinforcement-learning
Language:Python 42
26hzhang / AmusingPythonCodes
Interesting python codes to tackle simple machine/deep learning tasks
seq2seq lstm python highway-network batch-normalization cnn data-analysis knowledge-representation r-net maxout selu dynamic-memory-network
Language:Python 35
knsong / caffe-mt
This is a fork of caffe added some useful layers, the original caffe site is https://github.com/BVLC/caffe.
local-convolution multi-task-data-layer batch-normalization dynamic-convolution motion-blur
Language:C++ 33
AdityaDutt / Audio-Classification-Using-Wavelet-Transform
Classifying audio using Wavelet transform and deep learning
acoustics audio batch-normalization classification deep-learning deep-neural-networks dilated-convolution machine-learning mnist morlet-wavelet speaker-recognition wavelet wavelet-transform
Language:Python 31
bobye / batchnorm_prune
Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"
deep-learning batch-normalization network-pruning tensorflow
Language:Python 29
Cyril9227 / Keras_AttentiveNormalization
Unofficial Keras implementation of the paper Attentive Normalization.
deep-learning batch-normalization attention-mechanism keras keras-tensorflow
Language:Jupyter Notebook 29
sayakpaul / Training-BatchNorm-and-Only-BatchNorm
Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
deep-learning batch-normalization tensorflow2 keras
Language:Jupyter Notebook 27
tayebiarasteh / DeepLearning_from_scratch
A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.
adam-optimizer batch-normalization cnn convolutional-neural-networks deep-learning deep-neural-networks deeplearning dropout feedforward-neural-network l1-regularization l2-regularization lstm maxpooling numpy pooling python recurrent-neural-networks regularization rnn university-course
Language:Python 21
ayansengupta17 / GAN
We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.
machine-learning deep-learning python tensrorflow generative-adversarial-network gan mscoco-dataset cubs batch-normalization skip-thought-vectors deep-neural-networks text-encodings discriminator sentence mscoco loss-functions stack-gan dcgan dcgan-tensorflow
Language:HTML 20
xternalz / SDPoint
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
convolutional-networks resnets resnet efficient-inference pooling downsampling convolutional-neural-networks efficient-model deep-neural-networks deep-learning deep-learning-algorithms computer-vision regularization cost-adjustable resnext preact-resnet imagenet imagenet-dataset batch-normalization batchnorm
Language:Python 18
SSQ / Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization
Short description for quick search
initialization gradient-check l2-regularization dropout mini-batch-gradient-descent exponentially-weighted-averages bias-correction momentum rmsprop adam-optimizer learning-rate-decay batch-normalization softmax-regression tensorflow
Language:Python 17
AdalbertoCq / NeuralNetwork
Neural Network implementation in Numpy and Keras. Batch Normalization, Dropout, L2 Regularization and Optimizers
batch-normalization deep-neural-networks dropout gradient mlp optimization
Language:Python 16
AdityaDutt / Bird-Song-Classification
Classify bird species based on their songs using SIamese Networks and 1D dilated convolutions.
audio batch-normalization birds classification contrastive-learning deep-neural-networks dilated-convolution librosa one-shot-learning siamese-network spectrogram triplet-loss wavenet
Language:Python 15
apple / ml-tune-mode-convbn
Tune-Mode ConvBN Blocks For Efficient Transfer Learning
batch-normalization convolutional-neural-networks efficiency pytorch-fx transfer-learning
Language:Python 15
shiranzada / pure-noise
Official implementation for "Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images" https://arxiv.org/abs/2112.08810
augmentations batch-normalization deep-learning gaussian-noise imbalanced-data low-data-regime machine-learning normalization-techniques oversampling-technique
14
eigenfoo / batch-renorm
A Tensorflow re-implementation of batch renormalization, first introduced by Sergey Ioffe.
batch-renormalization tensorflow deep-learning batch-renorm batch-normalization batch-norm sergey-ioffe
Language:Python 13
NinaadRao / Multilabel-Image-Classification-using-Contractive-Autoencoder
Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification
contractive-autonencoders convolutional-neural-network feedforward-neural-network adam-optimizer batch-normalization dropout multilabel-classification binary-crossentropy tensorflow keras
Language:Jupyter Notebook 12

batch-normalization

MorvanZhou / PyTorch-Tutorial

cvjena / cnn-models

anish-lakkapragada / SeaLion

parasdahal / deepnet

twke18 / Adaptive_Affinity_Fields

AdalbertoCq / Deep-Learning-Specialization-Coursera

tamakoji / pytorch-syncbn

hwalsuklee / tensorflow-mnist-cnn

Oulu-IMEDS / pytorch_bn_fusion

rezakj / iCellR

snrazavi / Machine-Learning-in-Python-Workshop

lyttonhao / Neural-Style-MMD

mkeid / Feed-Forward-Style-Transfer

stevenobadja / math_object_detection

soloice / mnist-bn

VITA-Group / BNN_NoBN

hwalsuklee / tensorflow-mnist-MLP-batch_normalization-weight_initializers

VITA-Group / Sandwich-Batch-Normalization

minihat / LoL-Match-Prediction

adityab / CrossQ

26hzhang / AmusingPythonCodes

knsong / caffe-mt

AdityaDutt / Audio-Classification-Using-Wavelet-Transform

bobye / batchnorm_prune

Cyril9227 / Keras_AttentiveNormalization

sayakpaul / Training-BatchNorm-and-Only-BatchNorm

tayebiarasteh / DeepLearning_from_scratch

ayansengupta17 / GAN

xternalz / SDPoint

SSQ / Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

AdalbertoCq / NeuralNetwork

AdityaDutt / Bird-Song-Classification

apple / ml-tune-mode-convbn

shiranzada / pure-noise

eigenfoo / batch-renorm

NinaadRao / Multilabel-Image-Classification-using-Contractive-Autoencoder