vggnet

cvjena/cnn-models

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

Seonghoon-Yu/AI_Paper_Review

까먹으면 다시 보려고 정리합니다.

ayush1997/Xvision

Chest Xray image analysis using Deep learning !

soapisnotfat/pytorch-cifar10

pytorch and cifar10

dgurkaynak/tensorflow-cnn-finetune

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

usef-kh/fer

Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"

braindotai/Real-Time-Super-Resolution

🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

vijayg15/Keras-MultiClass-Image-Classification

Multiclass image classification using Convolutional Neural Network

taspinar/sidl

Deep Learning code

3outeille/Research-Paper-Summary

Summary & Implementation of Deep Learning research paper in Tensorflow/Pytorch.

Peachypie98/CBAM

CBAM: Convolutional Block Attention Module for CIFAR100 on VGG19

lynguyenminh/image-classification-pytorch

Implement image classification in pytorch

nh9k/pytorch-implementation

Pytorch implementation(LeNet, VGGNet, GAN, UNet, Mask R-CNN, ...)

jiweibo/AU_Recognition

AU_Recognition based on CKPlus/CK database

AntonFriberg/pytorch-cinic-10

Pytorch deep learning object detection using CINIC-10 dataset.

jianguoz/Transfer-Learning

We use pretrained networks VGGnet, AlexNet, GoogLeNet, ResNet which trained on the ImageNet dataset as a feature extractor to classify images.

alisure-ml/tensorflow-classification-network

实现遇到的分类网络（持续更新）

dlibml/dnn

Deep Neural Network Architectures with dlib

yxlijun/cifar-tensorflow

ZJCV/SSL

[NIPS 2016] Learning Structured Sparsity in Deep Neural Networks

yuddim/deepClassificationTool

Deep image classification tool based on Keras. Tool implements light versions of VGG, ResNet and InceptionV3 for small images

ccq1n/pytorch_model_backbone

The project is based on pytorch and integrates the current mainstream network architecture, including VGGnet, ResNet, Densenet, MobileNet and DarkNet (YOLOv2 and YOLOv3).

csaiprashant/multilabel_classification_vggnet

Multi-label Classification Using a Variation of VGGNet

danhdoan/cifar10-end2end-mxnet

MXNet - Modern CNNs with CIFAR10 - ~94% with only 50 epochs

SuperBruceJia/NLNet-IQA

Non-local Modeling for Image Quality Assessment

assassint2017/image-classification

here are some classic networks for image classification implement by pytorch

AubreyFeng/Classification-of-flowers

花分类，使用VGGNet、GoogLeNet、ResNet、DenseNet、EfficientNet和数据集中80%的数据训练识别模型，并对剩下20%的数据集进行测试

fangvv/EdgeLD

Code for paper "Locally Distributed Deep Learning Inference on Edge Device Clusters"

AndrzejMiskow/FER-with-Attention-and-Objective-Activation-Functions

This projected explored the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM to existing CNN vision-based models such as VGGNet, ResNet, and ResNetV2 to perform the Facial Emotion Recognition task.

agoila/transfer-learning

Use VGGNet to classify images of flowers.

kiritigowda/MIVisionX-Inference-Tutorial

MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit.

SunnyHaze/CIFAR10-VGG-Pytorch

基于Pytorch实现的VGG11和VGG16网络结构的CIFAR10分类任务。

walsvid/VGG-TensorFlow

VGGNet with TensorFlow

yxlijun/tensorflow-yolov1

Lintianqianjin/reappearance-of-some-classical-CNNs

my first tutorial on educoder