transformerbertaction-recognitioncnn-bilstmucf-101pytorch-implementation UpdatedMar 14, 2020 Python JeCase/LoadElectricity_Forecasting_CNN-BiLSTM-Attention Star32 Performed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases. ...
#lstm_out = Bidirectional(LSTM(lstm_units, activation='relu'), name='bilstm')(x) lstm_out = Bidirectional(LSTM(lstm_units, return_sequences=True))(x) attention_mul = attention_3d_block(lstm_out) attention_mul = Flatten()(attention_mul) output = Dense(1, activation='sigmoid')(attention...
CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras - PatientEz/CNN-BiLSTM-Attention-Time-Series-Prediction_Keras
基于pytorch框架,用TextCNN、TextRNN、FastText、TextRCNN、BiLSTM+Attention、DPCNN、Transformer、BERT算法实现了近几年比较主流的中文文本分类算法,并且在同一个数据集上比较了不同算法的分类准确率。参考的github:https://github.com/649453932/Chinese-Text-Classification-Pytorch 2、数据集介绍 THUCNews数据集是根据新...
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本文复现和整理了关于问答系统的4个经典模型:QA-CNN,QA-biLSTM,AP-CNN和AP-biLSTM。其中AP-CNN和AP-biLSTM是对前两种模型的改进,即引入了attention机制。主要参考论文《Attentive Pooling Networks》 Co-attention机制是近年来新出现的处理序列信息匹配的机制。
Github项目地址:https://github.com/JackHCC/Chinese-Text-Classification-PyTorch 中文文本分类,基于pytorch,开箱即用。 神经网络模型:TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention, DPCNN, Transformer 预训练模型:Bert,ERNIE 介绍 神经网络模型 模型介绍、数据流动过程:参考 ...
Path-based reasoning approach for knowledge graph completion using CNN-BiLSTM with attention mechanism 出版 Expert Systems With Applications 142 (2020) 112960 代码 github 摘要 知识图谱是构建智能系统(如问答或推荐系统)的宝贵资源。然而,大多数知识图都受到实体间关系缺失的影响。将实体和关系转换到低维空间的...
Keywords: Bidirectional Long Short-Term Memory (BiLSTM); Convolutional Neural Network (CNN); evolution strategy; Partial Least Square (PLS) method; Savitzky–Golay; Short-Term Load Forecasting (STLF) Graphical Abstract 1. Introduction For power systems, grid stability is becoming very sensible to ...
The datasets used in the empirical experiments, as well as the code of our model, are available at: https://github.com/staale92/cnn-bilstm-macroeconomic-forecasting. Conflicts of Interest The author declares no conflict of interest. Appendix Appendix A.1 Table A1. Additional covariates added ...