loretoparisi/CapsNet
A collection of Capsule Network implementations based on Hinton's dynamic routing paper across multiple deep learning frameworks.
Not currently ranked — collecting fresh signals.
star history
This repository provides implementations of Capsule Networks (CapsNets), a neural network architecture introduced in Geoffrey Hinton’s paper on dynamic routing between capsules. The project aggregates implementations across multiple frameworks including PyTorch, TensorFlow, Keras, Chainer, MXNet, and Lasagne, covering various datasets and tasks. It serves as a reference resource for researchers and practitioners exploring this computer vision architecture.
Frequently asked
- What is loretoparisi/CapsNet?
- A collection of Capsule Network implementations based on Hinton's dynamic routing paper across multiple deep learning frameworks.
- Is CapsNet open source?
- Yes — loretoparisi/CapsNet is open source, released under the MIT license.
- How popular is CapsNet?
- loretoparisi/CapsNet has 447 stars on GitHub.
- Where can I find CapsNet?
- loretoparisi/CapsNet is on GitHub at https://github.com/loretoparisi/CapsNet.