🏞 A content-based image retrieval (CBIR) system

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

Chest Xray image analysis using Deep learning !

pytorch and cifar10

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

Implement image classification in pytorch

Pytorch deep learning object detection using CINIC-10 dataset.

实现遇到的分类网络（持续更新）

[NIPS 2016] Learning Structured Sparsity in Deep Neural Networks

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

Multi-label Classification Using a Variation of VGGNet

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

Non-local Modeling for Image Quality Assessment

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

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

here are some classic networks for image classification implement by pytorch

VGGNet with TensorFlow

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