There are 16 repositories under capsule-network topic.
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 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%.
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
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
CapsLayer: An advanced library for capsule theory
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
PyContinual (An Easy and Extendible Framework for Continual Learning)
Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".
A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset
Tensorflow Implementation of Adversarial Attack to Capsule Networks
Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.
[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
ASR with PyTorch
Hands-On Deep Learning Algorithms with Python, By Packt
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
capsule networks that achieves outstanding performance on the German traffic sign dataset
Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Deep Learning with C# and CNTK
CapsuleNet for Micro-expression Recognition (IEEE FG 2019)
Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf
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)
Diseases Detection from NIH Chest X-ray data
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)
A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)
Capsule research with our trivial contribution
A PyTorch implementation of Compositional Coding Capsule Network based on PRL 2022 paper "Compositional Coding Capsule Network with K-Means Routing for Text Classification"
Deep (Transfer) Learning for Peptide Retention Time Prediction
The code for "No Routing Needed Between Capsules". This repository contains the code used for the experiments detailed in a forthcoming paper. The paper is available pre-published at arXiv: http://arxiv.org/abs/2001.09136