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%.
#计算机科学#🎆 A visualization of the CapsNet layers to better understand how it works
CapsLayer: An advanced library for capsule theory
Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
#计算机科学#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".
A PyTorch implementation of CapsNet based on NIPS 2017 paper "Dynamic Routing Between Capsules"
Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
A tutorial-style implementation of CapsNet in PyTorch
#计算机科学#Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf
Capsule Network on Fashion MNIST dataset
A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
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.