lizhenping / multi-head-self-attentionLinks
在sts数据集上用多头注意力机制上进行测试。 pytorch torchtext 代码简练,非常适合新手了解多头注意力机制的运作。不想transformer牵扯很多层 multi-head attention + one layer linear
☆18Updated 2 weeks ago
Alternatives and similar repositories for multi-head-self-attention
Users that are interested in multi-head-self-attention are comparing it to the libraries listed below
Sorting:
- BiLSTM 加普通Attention中文文本多分类Pytorch实现☆33Updated 4 years ago
- Pytorch Bert+BiLstm二分类☆41Updated 4 years ago
- 文本分类, 双向lstm + attention 算法☆90Updated 5 years ago
- 使用pytorch搭建textCNN实现中文文本分类☆132Updated 6 years ago
- 集成各种神经网络进行情感分类,包括CNN、LSTM、Transformer以及BERT等网络模型☆73Updated 6 years ago
- Named Entity Recognition (NER) with different combinations of BiGRU, Self-Attention and CRF☆63Updated 4 years ago
- 基于tensorflow的中文文本分类(复旦中文语料)☆21Updated 4 years ago
- pytorch实现的基于attention is all your need提出的Q,K,V的attention模板和派生的attention实现。☆21Updated 5 years ago
- Capsule, LSTM/GRU, CNN for text class implemented by Pytorch 胶囊网络, 循环神经网络和卷积神经网络在中文文本分类中的应用☆44Updated 6 years ago
- Pytorch 文本分类温习练习,本项目主要针对短文本的简单分类,demo看看就好。这里用到的网络有:FastText、TextCNN、TextRNN、TextRCNN、Transformer☆16Updated 5 years ago
- 多标签多分类的textCNN☆12Updated 5 years ago
- 电商评论情感分类☆15Updated 5 years ago
- ☆30Updated 5 years ago
- PyTorch使用BERT进行英语多标签文本分类☆34Updated 3 years ago
- ☆167Updated 6 years ago
- pytorch implementation of multi-label text classification, includes kinds of models and pretrained. Especially for Chinese preprocessing.☆77Updated 5 years ago
- 疫情期间网民情绪识别比赛分享+top1~3解决方案☆51Updated 4 years ago
- MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification☆24Updated 5 years ago
- Pytorch进行长文本分类。这里用到的网络有:FastText、TextCNN、TextRNN、TextRCNN、Transformer☆48Updated 5 years ago
- 利用bert预训练模型生成句向量或词向量☆27Updated 4 years ago
- ☆17Updated 3 years ago
- 虚假新闻检测多模态识别第一名解决方案☆39Updated 5 years ago
- ☆25Updated 3 years ago
- 基于CNN、RNN、GCN、BERT的中文文本分类☆43Updated 2 years ago
- 主要是实现nlp常用网络以及结果比较,各模型的优劣势,如:FastText,TextCNN,TextRNN,TextRCNN,BiLSTM,Seq2seq,BERT,Transformer,ELMo以及Attention机制等等。☆46Updated 6 years ago
- 采用bert进行事件抽取,[cls]进行事件分类,最后一层向量进行序列标注,两个任务同时训练。☆13Updated 4 years ago
- ☆275Updated 3 years ago
- Industry chain data test:Sentence classify Bi-GRU-att☆21Updated 6 years ago
- 一个基本的多层lstm rnn模型,能实现中英文文本的二分类或多分类☆48Updated 6 years ago
- 文本聚类(Kmeans、DBSCAN、LDA、Single-pass)☆347Updated 4 years ago