从Github上整理了几个关于时间序列预测的项目，简单记录一下：
@@@tensorflow
Time-series-prediction：Codebase for “Time-series prediction” with RNN, GRU, LSTM and Attention
https://github.com/jsyoon0823/Time-series-prediction
注：Attention class + GRU
@@Keras
Keras Attention Mechanism：Attention mechanism Implementation for Keras.
使用Keras实现 基于注意力机制（Attention）的 LSTM 时间序列预测
https://github.com/philipperemy/keras-attention-mechanism
使用Keras实现 基于注意力机制（Attention）的 LSTM 时间序列预测
@tensorflow
convlstm_Internet_traffic_prediction：
https://github.com/EchoQer/convlstm_Internet_traffic_prediction
注：Encoder+ConvLSTMCell+Decoder
@tensorflow
AR-LSTMs：Predicting Transportation Demand based on AR-LSTMs Model with Multi-Head Attention
https://github.com/ncu-dart/AR-LSTMs
注：encoder_rnn_lstm+decoder_rnn_lstm+multihead_attention
@
LSTM_Attention：
https://github.com/ningshixian/LSTM_Attention
注：各种Attention的model
@@
Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells：
https://github.com/shoumo95/Stock_Prediction_Model_using_Attention_Multilayer_RNN_LSTM
注：这里的注意力机制使用Tensorflow中的AttentionCellWrapper实现。
attn_cell =tf.contrib.rnn.AttentionCellWrapper(cell=stacked_cell,attn_length=attn_win_size,state_is_tuple=False)
@Pytorch
Emotions-Predictions: Emotions prediction using RNN with LSTM cells and Attention Mechanisms.
https://github.com/ismail-mebsout/Emotions-Predictions
注：EncoderRNN+Attention Decoder
版权声明：本文内容由互联网用户自发贡献，该文观点仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 举报，一经查实，本站将立刻删除。
文章由极客之音整理，本文链接：https://www.bmabk.com/index.php/post/162902.html
