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
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
Ablation Study of CapsuleNetwork on TimeSeries
CapsNet models
The code implements Hinton's matrix capsule with em routing for Cifar-10 dataset
Neural Networks for Machine Learning(Spring'17) - Hinton
A PyTorch implementation of Matrix Capsules with EM Routing by Hinton et al.
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
MXNet implementation of CapsNet
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.
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.
MXNet implementation of CapsNet
Empirical studies on Capsule Network representation and improvements implemented with PyTorch.
A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)
CapsNet for NLP
A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
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