🎆 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 "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.

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

Neural Networks for Machine Learning(Spring'17) - 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

Simple implementation of the standard Boltzmann Machine model with MATLAB

Pyhton notebook based on: Programming assignment 3 from Hinton's Neural Networks course from coursera https://www.coursera.org/learn/neural-networks

CapsNet models

Ablation Study of CapsuleNetwork on TimeSeries

This project explores Geoffrey Hinton's Forward-Forward algorithm. It includes a from-scratch implementation of Backpropagation in MATLAB to benchmark against the official FF implementation.

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