hinton

🎆 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

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

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

Simple implementation of the standard Boltzmann Machine model with MATLAB

CapsNet models