There are 3 repositories under capsule-networks topic.
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
A curated list of awesome resources related to capsule networks
CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes
A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.
A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.
A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)
A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images
Recognition of Sign Language using Capsule Networks
Prof. Geoffrey Hinton’ın “Dynamic Routing Between Capsules” makalesindeki Kapsül Ağı (Capsule Network: CapsNet) algoritmasının Keras Uygulamasıdır.
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.
PyTorch Implementation of "DeepCaps: Going Deeper with Capsule Networks" by Jathushan Rajasegaran et al.
Speech command recognition with capsule network & various NNs / KWS on Google Speech Command Dataset.
Capsule Networks and Convolutional Neural Networks for the Automated Segmentation of Left Atrium in Cardiac MRI
A collection of deep learning models (PyTorch implemtation)
PyTorch Implementation of Capsule Networks in NIPS2017 and ICLR2018
:large_blue_diamond: Effects of Degradations on Deep Neural Network Architectures.
"Capsule Networks against Medical Imaging Data Challenges" - LABELS@MICCAI 2018
Team Capybara final project "Histopathologic Cancer Detection" for the Statistical Machine Learning course @ University of Trieste
A pytorch implementation of the AAAI2021 paper GraCapsNet: Interpretable Graph Capsule Networks for Object Recognition
Simply explain and implement Capsule Networks on MNIST dataset using Pytorch.
Pytorch Implementation of Capsule Networks
PyTorch Implementation of Capsule Networks
Capsule Network based GAN
Deep Learning Python Notebooks
Tensorflow Implementation of Capsule Networks
A clean, pure C++/CUDA implementation of Capsule Networks, no cuDNN, TF, Keras, or libraries.
PyTorch implementation of Capsule Networks
Implementation of Capsule Network architecture in GANs using MNIST dataset
A crime detection and campus management system that helps in the detection, classification and subsequent mitigation of crimes occurring in a region of surveillance.
Brain Tumor Detection with the help of Multilevel Wavelet CNN and capsule networks.