Densenet for Image Classification

PyTorch Volume Models for 3D data

a tool for detecting tables in image and analysing complex header

🚀DenseNet Model by Pytorch

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

API for a machine learning model trained to detect folded or torn corners and edges from scanned document images.

API for a machine learning model trained to detect post-it/sticky notes from scanned document images.

Code that can be used for training a neural network model to classify input documents into distinct classes.

Code that can be used for training a neural network model to detect faults (sticky notes, folded corners etc.) in input documents.

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

Reproducing CheXpert paper using the PyTorch library.

PyTorch implementation of Deep-Learning Architectures

Using Densenet for image classification in PyTorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

Generating attention maps from resnet50 and densenet using ACDC and EMIDEC dataset

Using Densenet121 & Adam Optimizer on a Jupyter Notebook

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

Gluon to PyTorch deep neural network model converter

Like Attack基于决策的黑盒对抗网络攻击