🚀DenseNet Model by Pytorch
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Updated
Nov 15, 2023 - Python
🚀DenseNet Model by Pytorch
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
Code that can be used for training a neural network model to detect faults (sticky notes, folded corners etc.) in input documents.
Code that can be used for training a neural network model to classify input documents into distinct classes.
API for a machine learning model trained to detect post-it/sticky notes from scanned document images.
Using deep learning and computer vision(pytorch) to detect accidents on dashcam and report it to nearby emergency services with valid accident images
API for a machine learning model trained to detect folded or torn corners and edges from scanned document images.
Implementation of DenseNets Using PyTorch
a tool for detecting tables in image and analysing complex header
Like Attack基于决策的黑盒对抗网络攻击
Pretrained Efficient DenseNet Model
Heat Map 🔥 Generation codes for using PyTorch and CAM Localization Algorithm.
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.
Source code for Microsoft Code Fun Do Hackathon organized at IIT (BHU)
PyTorch Volume Models for 3D data
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
Gluon to PyTorch deep neural network model converter
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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