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wideresnet

Here are 20 public repositories matching this 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)

deep-learning pytorch image-classification densenet resnet squeezenet inceptionv3 googlenet resnext wideresnet cifar100 mobilenet inceptionv4 shufflenet xception nasnet inception-resnet-v2

Updated Jul 15, 2024
Python

xternalz / WideResNet-pytorch

Wide Residual Networks (WideResNets) in PyTorch

deep-learning resnet residual-networks wideresnet wide-resnet

Updated Apr 29, 2021
Python

xmuyzz / 3D-CNN-PyTorch

PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).

densenet resnet resnext wideresnet squzzenet 3dcnn mobilenet shufflenet mobilenetv2 pytorch-implementation shufflenetv2 preactresnet efficientnet c3dnet resnextv2

Updated Jul 24, 2022
Python

Queequeg92 / SE-Net-CIFAR

SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.

resnet cifar wideresnet se-net

Updated Sep 11, 2017
Python

LJY-HY / cifar_pytorch-lightning

CIFAR10, CIFAR100 results with VGG16,Resnet50,WideResnet using pytorch-lightning

accuracy densenet cifar10 wideresnet cifar100 pytorch-lightning

Updated Sep 8, 2020
Python

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

97.39% on CIFAR10 with PyTorch

pytorch svhn cifar10 wideresnet cifar100

Updated Mar 6, 2019
Python

fanghenshaometeor / vanilla-adversarial-training

vanilla training and adversarial training in PyTorch

deep-learning pytorch vgg cifar10 wideresnet cifar100 adversarial-training adversarial-attack vanilla-training fgsm-attack pgd-attack

Updated Feb 19, 2022
Python

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.

deep-neural-networks pytorch attention-mechanism medical-images vgg19 medical-image-processing wideresnet cnn-architecture medical-application x-ray-images cnn-classification mobilenetv3 regnet vision-transformer swin-transformer bone-fracture-classification fracture-detection

Updated Sep 24, 2024
Jupyter Notebook

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.

mnist wideresnet adversarial-machine-learning fgsm adversarial-attacks adversarial-training pgd-adversarial-attacks feature-scattering

Updated Jul 5, 2020
Python

baojudezeze / WideResNet-SAM-Optimizer

the CIFAR10 dataset

deep-neural-networks wideresnet cifar10-classification

Updated Feb 3, 2024
Jupyter Notebook

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.

neural-network python3 densenet inceptionv3 caltech256 wideresnet cifar-10 cifar-100 caltech101 tensorflow2 densenet-201

Updated Jun 17, 2021
Python

Manavvora / Deep-Learning

PyTorch implementation of deep CNNs

deep-neural-networks deep-learning convolutional-neural-networks wideresnet imagenet-classifier cifar-10 fashion-mnist alexnet-pytorch

Updated Jan 17, 2023
Python

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

deep-neural-networks computer-vision deep-learning pytorch imagenet image-recognition resnet convolutional-neural-networks residual-network resnext gradient-flow visual-recognition wideresnet optimization-problem gradient-analysis norm-preservation gradient-norm leno-resnet optimization-stability

Updated Oct 31, 2022
Python

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).

flax fixup wideresnet jax bayesianneuralnetwork

Updated Jul 19, 2023
Python

Awais-Asghar / CIFAR100-WideResNet-Classification-Pipeline

This project builds a high accuracy image classification system for the CIFAR100 dataset using the WideResNet28x10 architecture. The goal is to achieve strong top 1 accuracy through advanced augmentation, stable training strategy, and detailed model analysis.

python deep-learning pandas-dataframe wideresnet cnn-architecture multi-class-classification cifar100-image-classification

Updated Dec 8, 2025
Jupyter Notebook

FR-DC / MixMatch-PyTorch-CIFAR10

CIFAR10 PyTorch implementation of "MixMatch - A Holistic Approach to Semi-Supervised Learning"

pytorch semi-supervised-learning cifar10 wideresnet pytorch-lightning mixmatch

Updated Nov 27, 2023
Python

TahaTabatabaei / wideResNet-clustering

Image Texture Segmentation

clustering texture segmentation k-means wideresnet

Updated Jan 25, 2024
Jupyter Notebook

hy-vision-learning / jck-vision-int

pytorch densenet wideresnet cifar100 mixup pyramidnet cutmix

Updated Oct 23, 2024
Jupyter Notebook

muradhuseynov1 / CIFAR10_vs_CIFAKE

Sapienza University of Rome - Fundamentals of Data Science 2024/25/1 - Final Project

optimization pytorch image-classification regularization cifar10 wideresnet fine-tuning densenet121 cifake

Updated Dec 30, 2024
Jupyter Notebook

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.

deep-learning cnn pytorch image-classification residual-networks cifar10 wideresnet adam-optimizer

Updated Mar 25, 2022
Jupyter Notebook

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