🎆 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
[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's 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.
MXNet implementation of CapsNet
Hinton's Forward-Forward algorithm for deep learning
The code implements Hinton's matrix capsule with em routing for Cifar-10 dataset
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
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