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)

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

Gluon to PyTorch deep neural network model converter

Reproducing CheXpert paper using the PyTorch library.

Simple Code Implementation of "DenseNet" architecture using PyTorch.

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

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

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

An Image Classifier built with PyTorch and Google Colab

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

PyTorch Volume Models for 3D data

PyTorch implementation of Deep-Learning Architectures

Memory-Efficient Implementation of DenseNets via PyTorch 1.0

Like Attack基于决策的黑盒对抗网络攻击

Using deep learning and computer vision(pytorch) to detect accidents on dashcam and report it to nearby emergency services with valid accident images

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.

Implementation of DenseNets Using PyTorch

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

Densenet for Image Classification