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

Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.

A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).

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

Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.

Prof. Geoffrey Hinton’ın “Dynamic Routing Between Capsules” makalesindeki Kapsül Ağı (Capsule Network: CapsNet) algoritmasının Keras Uygulamasıdır.

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)

:large_blue_diamond: Effects of Degradations on Deep Neural Network Architectures (official code).

"Capsule Networks against Medical Imaging Data Challenges" - LABELS@MICCAI 2018

PyTorch Implementation of Capsule Networks in NIPS2017 and ICLR2018

A pytorch implementation of the AAAI2021 paper GraCapsNet: Interpretable Graph Capsule Networks for Object Recognition

Team Capybara final project "Histopathologic Cancer Detection" for the Statistical Machine Learning course @ University of Trieste

Pytorch Implementation of Capsule Networks

CapsNet implementations with PyTorch.

Simply explain and implement Capsule Networks on MNIST dataset using Pytorch.

Tensorflow implementation of capsule network (CapsNet) for traffic prediction.

PyTorch Implementation of Capsule Networks

Capsule Network based GAN

Tensorflow Implementation of Capsule Networks

A clean, pure C++/CUDA implementation of Capsule Networks, no cuDNN, TF, Keras, or libraries.