CapsNet-tensorflow-jupyter

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

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

A curated list of awesome resources related to capsule networks

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

CapsLayer: An advanced library for capsule theory

PyContinual (An Easy and Extendible Framework for Continual Learning)

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

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

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

Tensorflow Implementation of Adversarial Attack to Capsule Networks