🎆 A visualization of the CapsNet layers to better understand how it works

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

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

CapsNet for NLP

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

Empirical studies on Capsule Network representation and improvements implemented with PyTorch.

MXNet implementation of CapsNet

PyTorch implementation of (Hinton) Knowledge Distillation and a base class for simple implementation of other distillation methods.

Another implementation of Hinton's capsule networks in tensorflow.

A simple tensorflow implementation of CapsNet (by Dr. G. Hinton), based on my understanding. This repository is built with an aim to simplify the concept, implement and understand it.

MXNet implementation of CapsNet

Hinton's Forward-Forward algorithm for deep learning

Programming Assignments for the Neural Networks for Machine Learning Course on Coursera

The assignments for the Neural Networks for Machine Learning from Prof. Hinton

A PyTorch implementation of Matrix Capsules with EM Routing by Hinton et al.

The code implements Hinton's matrix capsule with em routing for Cifar-10 dataset

Neural Networks for Machine Learning(Spring'17) - Hinton

CapsNet models