Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.

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

Stacked Capsule Autoencoders (SCAE) in PyTorch and their semantic interpretation

The code for "No Routing Needed Between Capsules". This repository contains the code used for the experiments detailed in a forthcoming paper. The paper is available pre-published at arXiv: http://arxiv.org/abs/2001.09136

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

A PyTorch Implementation of Matrix Capsules with EM Routing

Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks. This repository contains the code used for the experiments detailed in a paper currently submitted to IEEE Transactions on Neural Networks and Learning Systems. The paper is available pre-published at arXiv: http://arxiv.org/abs/1906.08676

Matrix Capsules experiment on German Traffic Sign Recognition Benchmark (GTSRB)

A tensorflow implemention of CapsNet in Geoffrey Hinton's paper Dynamic Routing Between Capsules

Implementation of Hinton's "Dynamic Routing Between Capsules" paper

easy definition of tensor flow based neural networks

Another implementation of Hinton's capsule networks in tensorflow.

Models and examples built with TensorFlow

Models and examples built with TensorFlow

A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)

A tensorflow implementation for CapsNet