| kaka-lin/stock-price-predict |
52 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
mit |
Python |
| Implementation of seq2seq with attention in keras |
| arleigh418/Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN |
24 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
|
Python |
| 基於DA-RNN之DSTP-RNN論文試做(Ver1.0) |
| shoumo95/Stock_Prediction_Model_using_Attention_Multilayer_RNN_LSTM |
24 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells |
| arleigh418/Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch |
21 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| 基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測 |
| dmis-lab/hats |
20 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
|
Python |
| HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction |
| Roytsai27/Financial-GraphAttention |
16 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
|
Python |
| FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks |
| karush17/Hierarchical-Attention-Reinforcement-Learning |
12 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Python |
| Hierarchical Attention in Reinforcement Learning for Stock Order Executions |
| jwallbridge/translob |
7 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| Transformers for limit order books |
