| emilwallner/Screenshot-to-code |
14,132 |
|
0 |
0 |
almost 4 years ago |
0 |
|
17 |
other |
HTML |
| A neural network that transforms a design mock-up into a static website. |
| jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction |
4,220 |
|
0 |
0 |
about 3 years ago |
0 |
|
47 |
agpl-3.0 |
Python |
| LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data |
| fchollet/keras-resources |
3,174 |
|
0 |
0 |
over 3 years ago |
0 |
|
13 |
|
|
| Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library |
| jisungk/deepjazz |
2,583 |
|
0 |
0 |
almost 7 years ago |
0 |
|
12 |
apache-2.0 |
Python |
| Deep learning driven jazz generation using Keras & Theano! |
| abdulfatir/twitter-sentiment-analysis |
1,322 |
|
0 |
0 |
about 3 years ago |
0 |
|
20 |
mit |
Python |
| Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc. |
| yangwohenmai/LSTM |
1,228 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Python |
| 基于LSTM的时间序列预测研究 |
| khundman/telemanom |
793 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
other |
Jupyter Notebook |
| A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions. |
| wagamamaz/tensorflow-tutorial |
751 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
|
| TensorFlow and Deep Learning Tutorials |
| Renovamen/Speech-Emotion-Recognition |
570 |
|
0 |
0 |
about 3 years ago |
0 |
|
19 |
mit |
Python |
| Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别 |
| lvapeab/nmt-keras |
514 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
mit |
Python |
| Neural Machine Translation with Keras |
