A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
-
Updated
Dec 22, 2018 - Python
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
MXNet implementation of CapsNet
Pytorch implementation of paper: Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
Keras and tensorflow implementation of capsule network.
This project is created using Ryu controller which performs DIJKSTRA algorithm to find best paths, based on traffic flowing through links.
MXNet implementation of CapsNet
Research focused on comparison between CapsNet and CNN architectures in case of rotated image classification on CIFAR-10 dataset.
Melanoma recognition via dynamic routing between capsules
[MICCAI 2023] DRMC-A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis.
An experiment platform of Capsnet implemented by tensorflow
aiohttp extension for creating and modifying dynamic routes in runtime
Tensorflow implementation for some capsule based neural networks.
Keras implementation of 'Dynamic Routing Between Capsules' by Sabour, Frosst and Hinton. (NIPS 2017)
Supplementary files for the sequential routing framework
Add a description, image, and links to the dynamic-routing topic page so that developers can more easily learn about it.
To associate your repository with the dynamic-routing topic, visit your repo's landing page and select "manage topics."