wideresnet

There are 0 repository under wideresnet topic.

weiaicunzai / pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
pytorch image-classification deep-learning cifar100 resnet googlenet inceptionv4 xception resnext inceptionv3 inception-resnet-v2 densenet shufflenet mobilenet squeezenet nasnet wideresnet
Language:Python 4086
xternalz / WideResNet-pytorch
Wide Residual Networks (WideResNets) in PyTorch
wideresnet wide-resnet resnet deep-learning residual-networks
Language:Python 329
xmuyzz / 3D-CNN-PyTorch
PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).
3dcnn c3dnet densenet efficientnet mobilenet mobilenetv2 preactresnet pytorch-implementation resnet resnext resnextv2 shufflenet shufflenetv2 squzzenet wideresnet
Language:Python 133
Queequeg92 / SE-Net-CIFAR
SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.
se-net resnet wideresnet cifar
Language:Python 47
LJY-HY / cifar_pytorch-lightning
CIFAR10, CIFAR100 results with VGG16,Resnet50,WideResnet using pytorch-lightning
pytorch-lightning densenet wideresnet accuracy cifar10 cifar100
Language:Python 22
Learning-and-Intelligent-Systems / Analytical-Learning-Theory
97.39% on CIFAR10 with PyTorch
pytorch cifar10 cifar100 svhn wideresnet
Language:Python 15
fanghenshaometeor / vanilla-adversarial-training
vanilla training and adversarial training in PyTorch
adversarial-attack adversarial-training cifar10 cifar100 deep-learning fgsm-attack pgd-attack pytorch vanilla-training vgg wideresnet
Language:Python 9
Stick-To / WideResNet-tensorflow
wide resnet in tensorflow
tensorflow wideresnet wrn
Language:Python 9
aminul-huq / WideResNet_MNIST_Adversarial_Training
WideResNet implementation on MNIST dataset. FGSM and PGD adversarial attacks on standard training, PGD adversarial training, and Feature Scattering adversarial training.
wideresnet mnist fgsm pgd-adversarial-attacks feature-scattering adversarial-training adversarial-machine-learning adversarial-attacks
Language:Python 3
baojudezeze / WideResNet-SAM-Optimizer
the CIFAR10 dataset
cifar10-classification deep-neural-networks wideresnet
Language:Jupyter Notebook 2
Manavvora / Deep-Learning
PyTorch implementation of deep CNNs
cifar-10 convolutional-neural-networks deep-learning deep-neural-networks fashion-mnist imagenet-classifier alexnet-pytorch wideresnet
Language:Python 1
yliang725 / Image-Recognition-on-CIFAR-10-CIFAR-100-Caltech-101-Caltech-256-datasets
Image recognition on CIFAR 10, CIFAR 100, Caltech 101 and Caltech 256 datasets. With the implementation of WideResNet, InceptionV3 and DenseNet neural networks.
wideresnet inceptionv3 densenet densenet-201 neural-network cifar-10 cifar-100 caltech101 caltech256 tensorflow2 python3
Language:Python 1
bharatmahaur / LeNo
Code for paper: "Improved Residual Network Based on Norm-Preservation for Visual Recognition" https://doi.org/10.1016/j.neunet.2022.10.023
computer-vision convolutional-neural-networks deep-learning deep-neural-networks gradient-analysis gradient-flow gradient-norm image-recognition imagenet leno-resnet norm-preservation optimization-problem optimization-stability pytorch residual-network resnet resnext visual-recognition wideresnet
Language:Python 0
FR-DC / MixMatch-PyTorch-CIFAR10
CIFAR10 PyTorch implementation of "MixMatch - A Holistic Approach to Semi-Supervised Learning"
cifar10 mixmatch semi-supervised-learning pytorch wideresnet pytorch-lightning
Language:Python 0
kunalkashyap855 / wide-resnet-cifar10
Training a Wide Residual Network on the CIFAR - 10 dataset with a limit of 5 million on the number of trainable parameters.
pytorch deep-learning residual-networks cifar10 wideresnet cnn image-classification adam-optimizer
Language:Jupyter Notebook 0
mo26-web / Bone-Fracture-Classification
This project uses PyTorch to classify bone fractures. As well as fine-tuning some famous CNN architectures (like VGG 19, MobileNetV3, RegNet,...), we designed our own architecture. Additionally, we used Transformer architectures (such as Vision Transformer and Swin Transformer). This dataset is Bone Fracture Multi-Region X-ray, available on Kaggle.
medical-image-processing mobilenetv3 regnet swin-transformer vgg19 vision-transformer wideresnet bone-fracture-classification fracture-detection medical-images x-ray-images cnn-architecture cnn-classification attention-mechanism medical-application deep-neural-networks pytorch
Language:Jupyter Notebook 0
TahaTabatabaei / wideResNet-clustering
Image Texture Segmentation
clustering k-means segmentation texture wideresnet
Language:Jupyter Notebook 0
konstantinos-p / wide_resnet_wfixup_jax
An implementation of WideResNets with Fixup initialization in Jax/Flax. This can be useful for use cases where Batch Normalization should be avoided (for example when using the Laplace approximation to the Bayesian posterior).
bayesianneuralnetwork fixup flax jax wideresnet
Language:Python

wideresnet

weiaicunzai / pytorch-cifar100

xternalz / WideResNet-pytorch

xmuyzz / 3D-CNN-PyTorch

Queequeg92 / SE-Net-CIFAR

LJY-HY / cifar_pytorch-lightning

Learning-and-Intelligent-Systems / Analytical-Learning-Theory

fanghenshaometeor / vanilla-adversarial-training

Stick-To / WideResNet-tensorflow

aminul-huq / WideResNet_MNIST_Adversarial_Training

baojudezeze / WideResNet-SAM-Optimizer

Manavvora / Deep-Learning

yliang725 / Image-Recognition-on-CIFAR-10-CIFAR-100-Caltech-101-Caltech-256-datasets

bharatmahaur / LeNo

FR-DC / MixMatch-PyTorch-CIFAR10

kunalkashyap855 / wide-resnet-cifar10

mo26-web / Bone-Fracture-Classification

TahaTabatabaei / wideResNet-clustering

konstantinos-p / wide_resnet_wfixup_jax