| zhangpur/SR-LSTM |
78 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
mit |
Python |
| States Refinement LSTM |
| aruno14/speechRecognition |
13 |
|
0 |
0 |
about 3 years ago |
0 |
|
6 |
|
Python |
| Speech recognition system implemented using tensorflow |
| rkmalaiya/network_anomaly_detection_deep_learning |
9 |
|
0 |
0 |
about 7 years ago |
0 |
|
8 |
mit |
Jupyter Notebook |
| This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”. |
| MohamedAliHabib/Stock-Price-Predictor |
9 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
apache-2.0 |
Jupyter Notebook |
| Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices. |
| thinkwee/Abstract_Summarization_RNN |
8 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Python |
| RNN Seq2Seq Based Abstract Summarization(ABS) On Tensorflow |
| xhzhao/pytorch-rnn-benchmark |
7 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| Tom957/Att-LSTM |
7 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
Python |
| Att-LSTM and hierarchical Att-LSTM |
| chenligeng/Tensorflow-StartUp-Tutorials |
6 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Python |
| It is a start up tutorial for tensorflow. |
| mikdangana/lstm_ekf |
6 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Python |
| Adaptive Control System Using ML-Tunable Kalman Filters |
