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3d-alexnet-tensorflow-tensorboard

Implementation of AlexNet for 3D images in Tensorflow

3d_image_segmentation

3D implementation of some of the most famous networks used for segmentation

3d_resnet_tensorflow_tensorboard

The object-oriented implementation of the Residual Network proposed in "Deep Residual Learning for Image Recognition" modified to be used for 3D images

alexnet-for-multi-task-classification

This code is prepared for the Chest-Xray data classification task where each single image includes several conditions.

alexnet-tensorflow-tensorboard

Implementation of AlexNet (CNN designed by Alex Krizhevsky) in Tensorflow+Tensorboard

alexnet_object_oriented_tensorflow_tensorboard

Object Oriented Implementation of AlexNet using Tensorflow

amobiny.github.io

apoptosis_project

This repository contains codes of the methods used in the apoptosis project

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

bayes-nn

Lecture notes on Bayesian deep learning

bnn_skin_lesion

Bayesian Neural Network for Uncertainty Estimation in Skin Lesion Classification

capsule_network_pytorch

capsule_network_tensorflow

Capsule Network implementation in Tensorflow

chest_xray

HULA project on chest x-ray dataset

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

ct_semantic_segmentation

Contains codes for algorithms used to delineate organs from CT images for thoracic patients in radiation treatment planning

decaps_for_covid19

Official implementation of the Detailed-oriented Capsule Network for detecting COVID-19 from CT scans

deep_capsnet

Implementation of Capsule Networks with Dynamic Routing with several layers, introducing Convolutional Capsule connections

deep_capsule_network

Implementation of Deep Capsule Network using Convolutional Dynamic Routing

face_recognition_siamese_network

http://yann.lecun.com/exdb/publis/pdf/hadsell-chopra-lecun-06.pdf

fast_capsnet

Official implementation of the Fast Capsule Network

glomerulus_classification

google-research

Google Research

hide_and_seek

Multi-Attention Multi-Task model for Fine-grained classification of common diseases in chest radiographs

html

interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

mouse_segmentation

ntm_tensorflow

nts_network

proposal