Alternatives and similar repositories for keras-attention-mechanism-master:

Users that are interested in keras-attention-mechanism-master are comparing it to the libraries listed below

• fuqiuai / TensorFlow-Deep-Learning
  用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型
  ☆59Updated 6 years ago
• greenplum0 / ACNN
  论文基于注意力机制的卷积神经网络模型 源代码
  ☆16Updated 7 years ago
• qiuhaining / sklearn-SVM
  支持向量机(SVM)——分类预测，包括多分类问题，核函数调参，不平衡数据问题，特征降维，网格搜索，管道机制，学习曲线，混淆矩阵，AUC曲线等
  ☆52Updated 7 years ago
• qiaokangqi / CNN-SVM
  卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html
  ☆15Updated 6 years ago
• yanshengli / DBN_Learning
  利用深度RBM构建多分类模型
  ☆19Updated 9 years ago
• keep-steady / BiLSTM_attention_keras
  ☆10Updated 6 years ago
• betulays / sentiment_analysis_deep_models
  LSTM, CNN, CNNLSTM, BiLSTM, MLP
  ☆10Updated 7 years ago
• bubbliiiing / Keras-Attention
  这个仓库主要包含了LSTM、卷积神经网络中，注意力机制的实现。
  ☆131Updated 4 years ago
• EsmeYi / time-series-forcasting
  Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
  ☆49Updated 5 years ago
• epishova / Neural-Networks-for-time-series-analysis
  Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis
  ☆42Updated 6 years ago
• zhaoxingfeng / SVM
  支持向量机，Support Vector Machine(SVM)，多类分类
  ☆31Updated 8 years ago
• ivanlen / time_series_classification_and_ensembles
  some examples for time series classification using keras: #1D_CNN #LSTM #Dense #Ensembles
  ☆26Updated 5 years ago
• xadrianzetx / temporal-conv-net-keras
  TCN architecture for time series
  ☆23Updated 6 years ago
• ningshixian / LSTM_Attention
  attention-based LSTM/Dense implemented by Keras
  ☆298Updated 6 years ago
• WebLearning17 / SequencePrediction
  Pytorch 实现RNN、LSTM、GRU模型
  ☆78Updated 6 years ago
• AidenHuen / Capsule-Text-Classification
  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
  ☆77Updated 6 years ago
• PatientEz / keras-attention-mechanism
  the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rath…
  ☆77Updated 7 months ago
• fff2zrx / lstm_example
  use lstm to predict value and label based on keras基于keras框架，用lstm解决回归和分类问题
  ☆18Updated 4 years ago
• xiaobh2010 / linearregression-lasso-ridge-elasticnet
  基于波士顿房屋租赁价格数据，使用lasso回归算法做特征选择后，分别使用线性回归、Lasso回归、Ridge回归、Elasitic Net四类回归算法构建模型（分别测试1,2,3阶）
  ☆13Updated 5 years ago
• yezhichen2 / cnn_lstm
  基于Keras的LSTM多变量时间序列预测
  ☆23Updated 7 years ago
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 9 years ago
• geroge-gao / deeplearning
  some small codes about deep learning
  ☆51Updated 7 years ago
• lu-zhao / EMD_LSTM
  ☆32Updated 5 years ago
• zhangyaqi1989 / Ensemble-Methods-for-Image-Classification
  In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…
  ☆98Updated 6 years ago
• xqtbox / question-classification-with-multi-level-attention-mechanism-and-keras
  question classification with multi-level attention mechanism 使用多层级注意力机制和keras实现问题分类
  ☆34Updated 5 years ago
• Maria-Habib / GA-XGBoost-Evoloby
  ☆15Updated 4 years ago
• MagaliDrumare / How-to-learn-PyTorch-NN-CNN-RNN-LSTM
  ☆32Updated 7 years ago
• SUMORAN / Attention-Based-BiLSTM-sentence-classify
  Industry chain data test：Sentence classify Bi-GRU-att
  ☆21Updated 6 years ago
• Anonymoushhh / Ensemble_Learning
  使用5-6个模型（可以是knn svm 贝叶斯等等）用投票的方式做一个集成学习对MNIST数据集进行分类。
  ☆24Updated 6 years ago
• dhuQChen / Projects
  ☆24Updated 5 years ago