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)
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Updated
Jun 29, 2018 - Python
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
PyTorch Volume Models for 3D data
End To End Deep Learning Project For Classifying Cat vs Dog Images, using PyTorch
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.
Like Attack基于决策的黑盒对抗网络攻击
Densenet for Image Classification
Implementation of DenseNets Using PyTorch
a tool for detecting tables in image and analysing complex header
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