This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

Gluon to PyTorch deep neural network model converter

End To End Deep Learning Project For Classifying Cat vs Dog Images, using PyTorch

PyTorch Volume Models for 3D data

Reproducing CheXpert paper using the PyTorch library.

This is an image recognition application based on the FastAPI framework and PyTorch which uses pretrained DenseNet 121 model to detect the image.

Memory-Efficient Implementation of DenseNets via PyTorch 1.0

My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.

My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]

PyTorch implementation of Deep-Learning Architectures

Source code for Microsoft Code Fun Do Hackathon organized at IIT (BHU)

In this repository, I released senet-densenet training codes and output files. And it refer to another repository(https://github.com/zhouyuangan/SE_DenseNet), which repository I had made some notes in.

Heat Map 🔥 Generation codes for using PyTorch and CAM Localization Algorithm.

Pretrained Efficient DenseNet Model

Simple Code Implementation of "DenseNet" architecture using PyTorch.

Densenet for Image Classification

Like Attack基于决策的黑盒对抗网络攻击

Implementation of DenseNets Using PyTorch

a tool for detecting tables in image and analysing complex header