capsule-network

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

A curated list of awesome resources related to capsule networks

Pytorch easy-to-follow Capsule Network tutorial

🎆 A visualization of the CapsNet layers to better understand how it works

CapsLayer: An advanced library for capsule theory

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Tensorflow Implementation of Adversarial Attack to Capsule Networks

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

ASR with PyTorch

Official TensorFlow code for the forthcoming paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Deep Learning with C# and CNTK

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

capsule networks that achieves outstanding performance on the German traffic sign dataset

A pytorch implementation of CapsNet for text classification 汽车行业用户观点主题及情感识别为例(subject-and-sentiment-analysis)

Hands-On Deep Learning Algorithms with Python, By Packt

A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)

Diseases Detection from NIH Chest X-ray data

Capsule research with our trivial contribution

A Matlab implementation of the capsule networks (or capsnet).

A PyTorch implementation of Compositional coding Capsule Network based on the paper "Compositional coding capsule network with k-means routing for text classification"

Official implementation of "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019) in PyTorch.