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%.

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

ts版正在开发中； CGA 3D 计算几何算法库 | 3D Compute Geometry Algorithm Library webgl three.js babylon.js等任何库都可以使用

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

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[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"

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

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

Capsule Maven Plugin

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

利用keras搭建的胶囊网络（capsule network文本分类模型，包含RNN、CNN、HAN等，其中keras_utils包含了capsule层和attention层的keras实现

A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.

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MXNet implementation of CapsNet

CapsNet reference from : https://github.com/XifengGuo/CapsNet-Keras

PyTorch Capsule Layer

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An Experimental Implementation for CapsuleGAN.

A Laravel Eloquent ORM/Capsule service provider for Silex

A simple tensorflow implementation of CapsNet (by Dr. G. Hinton), based on my understanding. This repository is built with an aim to simplify the concept, implement and understand it.

CapsuleNet for Micro-expression Recognition (IEEE FG 2019)

A pytorch implementation of Capsule Network.

Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based and capsule-routing-based) and Hidden-State Aggregation (attention-based and capsule-routing-based).

🌱 Playing in Kaggle Playground

MXNet implementation of CapsNet

Unofficial implementation of Capsule Networks, Dynamic Routing between capsules (by tensorflow)

Capsule networks can defend against adversarial attacks using reconstruction error