batch-normalization | Topic | Ecosyste.ms: Repos

Topic: "batch-normalization"

MorvanZhou/PyTorch-Tutorial

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

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: 26 days ago - Pushed at: about 2 years ago - Stars: 8,265 - Forks: 3,112

cvjena/cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

Language: Python - Size: 3.36 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 361 - Forks: 161

anish-lakkapragada/SeaLion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Language: Python - Size: 37.9 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 333 - Forks: 35

parasdahal/deepnet

Educational deep learning library in plain Numpy.

Language: Python - Size: 40 KB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 322 - Forks: 83

twke18/Adaptive_Affinity_Fields 📦

Adaptive Affinity Fields for Semantic Segmentation

Language: Python - Size: 2.63 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 260 - Forks: 62

AdalbertoCq/Deep-Learning-Specialization-Coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Language: Jupyter Notebook - Size: 122 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 249 - Forks: 256

tamakoji/pytorch-syncbn

Synchronized Multi-GPU Batch Normalization

Language: Python - Size: 20.5 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 223 - Forks: 22

hwalsuklee/tensorflow-mnist-cnn

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

Language: Python - Size: 168 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 200 - Forks: 96

imedslab/pytorch_bn_fusion 📦

Batch normalization fusion for PyTorch. This is an archived repository, which is not maintained.

Language: Python - Size: 54.7 KB - Last synced at: 5 days ago - Pushed at: about 5 years ago - Stars: 197 - Forks: 29

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)).

Language: R - Size: 68.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 117 - Forks: 19

snrazavi/Machine-Learning-in-Python-Workshop

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

Language: Jupyter Notebook - Size: 23 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 111 - Forks: 63

lyttonhao/Neural-Style-MMD

MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)

Language: Python - Size: 5.52 MB - Last synced at: 19 days ago - Pushed at: almost 8 years ago - Stars: 84 - Forks: 22

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.

Language: Python - Size: 3.24 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 79 - Forks: 33

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.

Language: Python - Size: 413 MB - Last synced at: 29 days ago - Pushed at: about 7 years ago - Stars: 66 - Forks: 18

soloice/mnist-bn

Using slim to perform batch normalization

Language: Python - Size: 718 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 60 - Forks: 18

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

Language: Python - Size: 310 KB - Last synced at: 16 days ago - Pushed at: over 3 years ago - Stars: 57 - Forks: 10

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.

Language: Python - Size: 1.62 MB - Last synced at: 16 days ago - Pushed at: over 8 years ago - Stars: 55 - Forks: 17

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

Language: Python - Size: 21.9 MB - Last synced at: 16 days ago - Pushed at: over 3 years ago - Stars: 50 - Forks: 5

adityab/CrossQ

Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"

Language: Python - Size: 5.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 44 - Forks: 2

AdityaDutt/Audio-Classification-Using-Wavelet-Transform

Classifying audio using Wavelet transform and deep learning

Language: Python - Size: 19.8 MB - Last synced at: 16 days ago - Pushed at: over 3 years ago - Stars: 35 - Forks: 6

26hzhang/AmusingPythonCodes

Interesting python codes to tackle simple machine/deep learning tasks

Language: Python - Size: 1.07 GB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 27

bobye/batchnorm_prune

Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"

Language: Python - Size: 26.4 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 30 - Forks: 9

sayakpaul/Training-BatchNorm-and-Only-BatchNorm

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

Language: Jupyter Notebook - Size: 3 MB - Last synced at: about 10 hours ago - Pushed at: over 4 years ago - Stars: 29 - Forks: 5

Cyril9227/Keras_AttentiveNormalization

Unofficial Keras implementation of the paper Attentive Normalization.

Language: Jupyter Notebook - Size: 239 KB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 29 - Forks: 5

xternalz/SDPoint

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Language: Python - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 4

apple/ml-tune-mode-convbn

Tune-Mode ConvBN Blocks For Efficient Transfer Learning

Language: Python - Size: 702 KB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 17 - Forks: 1

AdityaDutt/Bird-Song-Classification

Classify bird species based on their songs using SIamese Networks and 1D dilated convolutions.

Language: Python - Size: 2.83 MB - Last synced at: 16 days ago - Pushed at: almost 4 years ago - Stars: 17 - Forks: 8

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

Short description for quick search

Language: Python - Size: 7.87 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 17 - Forks: 18

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.

Language: HTML - Size: 1.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 17 - Forks: 8

tayebiarasteh/DeepLearning_from_scratch

A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.

Language: Python - Size: 11.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 16 - Forks: 2

AdalbertoCq/NeuralNetwork

Neural Network implementation in Numpy and Keras. Batch Normalization, Dropout, L2 Regularization and Optimizers

Language: Python - Size: 8.01 MB - Last synced at: 12 months ago - Pushed at: almost 6 years ago - Stars: 16 - Forks: 6

eigenfoo/batch-renorm

A Tensorflow re-implementation of batch renormalization, first introduced by Sergey Ioffe.

Language: Python - Size: 752 KB - Last synced at: 17 days ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 0

osu-cvl/revisiting-bn-init

Code for "Revisiting Batch Norm Initialization".

Language: Python - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 1

karoly-hars/GAN_image_colorizing

Image colorization with generative adversarial networks on the CIFAR10 dataset.

Language: Python - Size: 1.72 MB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 11 - Forks: 4

shinsumicco/pytorch-syncbn

Synchronized Multi-GPU Batch Normalization for PyTorch based on https://github.com/tamakoji/pytorch-syncbn

Language: Python - Size: 27.3 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 1

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

Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification

Language: Jupyter Notebook - Size: 17.8 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 4

fau-masters-collected-works-cgarbin/dropout-vs-batch-normalization

Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper

Language: TeX - Size: 2.25 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

arjuntheprogrammer/TheSchoolOfAI

Projects for The School of AI

Language: Jupyter Notebook - Size: 444 MB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 5

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

Size: 1.04 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 0

deep-learning-algorithm/GoogLeNet

Implementation of GoogLeNet series Algorithm

Language: Python - Size: 491 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 3

mindee/Problem-of-BatchNorm

Playground repository to highlight the problem of BatchNorm layers for an blog article

Language: Python - Size: 7.81 KB - Last synced at: 28 days ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0

philipperemy/keras-mode-normalization

Keras Implementation of Mode Normalization (Lucas Deecke, Iain Murray, Hakan Bilen, 2018)

Language: Python - Size: 240 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 1

Cyril9227/Keras_IEBN

Unofficial Keras implementation of the paper Instance Enhancement Batch Normalization.

Language: Jupyter Notebook - Size: 156 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

sharnam19/Networks

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

Language: Python - Size: 3.51 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1

fabianschilling/awesome-convnets

A list of papers I used for my thesis about convolutional neural networks and batch normalization

Size: 7.81 KB - Last synced at: 10 days ago - Pushed at: about 9 years ago - Stars: 5 - Forks: 2

AFAgarap/vanishing-gradients

Avoiding the vanishing gradients problem by adding random noise and batch normalization

Language: Python - Size: 175 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

sujatasaini/Kuzushiji-DropBlock

Japanese Handwritten Character Recognition using DropBlock Regulzarization

Language: Python - Size: 334 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

busebozkurtt/Object-Detection-Using-CNN

Language: Jupyter Notebook - Size: 316 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

LaxmiChaudhary/SVHN-Deep-Neural-Network

Implementing an Image classification neural network to classify Street House View Numbers

Language: Jupyter Notebook - Size: 533 KB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 12

marcvidalbadia/functional-whitening

Supplementary Online Material for M. Vidal & A. M. Aguilera. Novel whitening approaches in functional settings. Stat, 12(1), e516.

Language: R - Size: 1.77 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

ChaitanyaC22/Deep_Learning_Hand_Gesture_Recognition_Project

The objective of this project is to recognize hand gestures using state-of-the-art neural networks.

Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

tomassykora/bidaf-question-answering

Bi-Directional Attention Flow (BiDAF) question answering model enhanced by multi-layer convolutional neural network character embeddings.

Language: Python - Size: 9.97 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

AngusG/bn-advex-zhang-fixup

Code for ResNet-Fixup experiments as part of "Batch Norm is a Cause of Adversarial Vulnerability" presented at http://deep-phenomena.org/

Language: Python - Size: 12.4 MB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 0

DunittMonagas/Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

Curso Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. Segundo curso del programa especializado Deep Learning. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/neural-networks-deep-learning

Language: Jupyter Notebook - Size: 729 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 3

anuvindbhat/batch-norm

An implementation of the technique of batch normalization on a feed forward neural network.

Language: Python - Size: 137 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 1

badbubble/Densenet-Tensorflow

使用Tensorflow实现DenseNet

Language: Python - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 1

samridhishree/Deeplearning-Models

Deep learning models in Python

Language: Python - Size: 266 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0

SarveshChandra/Machine-Learning-and-Artificial-Intelligence-Case-Studies

AIML Projects

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 2

kiwi12138/RealisticTTA

Official repository for AAAI2024 paper <Unraveling Batch Normalization for Realistic Test-Time Adaptation>.

Language: Python - Size: 519 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

sabrid369/BFMD-SN-U-net

The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"

Language: Python - Size: 110 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

Justsecret123/One-Piece-Image-Classifier

A quick image classifier trained with manually selected One Piece images.

Language: Jupyter Notebook - Size: 83.3 MB - Last synced at: 26 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

stnamjef/SimpleNN

A simple neural network library in C++

Language: C++ - Size: 16.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

GOVINDDIXIT/Batch-Normalisation

This notebook shows you one way to add batch normalization to a neural network built in PyTorch.

Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

abaybektursun/why-batchNorm-works

Source Code For: Why Does Batch Normalization Work?

Language: JavaScript - Size: 137 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 3

flowstateeng/Coursera-Deep-Learning

A five-course specialization covering the foundations of Deep Learning, from building CNNs, RNNs & LSTMs to choosing model configurations & paramaters like Adam, Dropout, BatchNorm, Xavier/He initialization, and others.

Language: Jupyter Notebook - Size: 105 MB - Last synced at: 1 day ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

matthiasludwig/deep-learning-udacity-material

Material from Udacity for the Deep Learning ND

Language: Jupyter Notebook - Size: 85.2 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

srinadhu/convolutional_nn

Implemented fully-connected DNN of arbitrary depth with Batch Norm and Dropout, three-layer ConvNet with Spatial Batch Norm in NumPy. The update rules used for training are SGD, SGD+Momentum, RMSProp and Adam. Implemented three block ResNet in PyTorch, with 10 epochs of training achieves 73.60% accuracy on test set.

Language: Jupyter Notebook - Size: 713 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 1

twcmchang/MLDS2017Final

Why Batch Normalization Works so Well (best peer-reviewed project at MLDS, 2017 Spring)

Language: Python - Size: 17.6 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

satyaSK/Modulated-ConvNet-CIFAR10

ConvNet in Tensorflow to study the effect of Batch Normalization on the CIFAR-10 dataset

Language: Python - Size: 15.6 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

shksa/Multi-Digit-number-recognition-in-natural-images

Using the SVHN datset, a deep cnn model is trained in pytorch with a slightly different training routine and another straight forward cnn model in keras

Language: Jupyter Notebook - Size: 8.26 MB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 1

mbeps/custom-neural-network-classifier

The project implements a neural network classifier with advanced techniques like batch normalisation, dropout, and gradient clipping to control Pacman's movements based on the game state. This is a coursework for the Machine Learning (6CCS3ML1) module for King's College London.

Language: Python - Size: 294 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

csm9493/TaskBalancedBN

Official Code of Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning (CVPR 2023)

Language: Python - Size: 342 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

harinik05/LeukoDif

Denoising diffusion medical model (DDMM) for diagnosis of Acute Lymphoblastic Leukemia

Language: Jupyter Notebook - Size: 26.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

RimTouny/Weed-Species-Classification-and-Bounding-Box-Regression

Leveraging advanced image processing and deep learning, this project classifies plant images using a subset of the Plant Seedlings dataset. The dataset includes diverse plant species captured under varying conditions. This project holds significance within my Master's in Computer Vision at uOttawa (2023).

Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0