A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
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Updated
Nov 21, 2017 - Python
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
Simple implementation of the standard Boltzmann Machine model with MATLAB
A PyTorch implementation of Matrix Capsules with EM Routing by Hinton et al.
CapsNet models
Pyhton notebook based on: Programming assignment 3 from Hinton's Neural Networks course from coursera https://www.coursera.org/learn/neural-networks
Hinton's Forward-Forward algorithm for deep learning
The code implements Hinton's matrix capsule with em routing for Cifar-10 dataset
Ablation Study of CapsuleNetwork on TimeSeries
Programming Assignments for the Neural Networks for Machine Learning Course on Coursera
MXNet implementation of CapsNet
The assignments for the Neural Networks for Machine Learning from Prof. Hinton
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.
Neural Networks for Machine Learning(Spring'17) - Hinton
Another implementation of Hinton's capsule networks in tensorflow.
PyTorch implementation of (Hinton) Knowledge Distillation and a base class for simple implementation of other distillation methods.
Empirical studies on Capsule Network representation and improvements implemented with PyTorch.
CapsNet for NLP
MXNet implementation of CapsNet
A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)
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