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