🎆 A visualization of the CapsNet layers to better understand how it works
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Updated
Oct 5, 2021 - Python
🎆 A visualization of the CapsNet layers to better understand how it works
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)
A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
MXNet implementation of CapsNet
CapsNet for NLP
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.
Neural Networks for Machine Learning(Spring'17) - 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.
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
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
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