| rafaljozefowicz/lm |
161 |
|
0 |
0 |
over 9 years ago |
0 |
|
3 |
mit |
Python |
| pbhatia243/tf-layer-norm |
114 |
|
0 |
0 |
over 9 years ago |
0 |
|
3 |
|
Python |
| TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks. |
| benkrause/dynamic-evaluation |
102 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
bsd-2-clause |
Python |
| Dynamic evaluation for pytorch language models, now includes hyperparameter tuning |
| amujika/Fast-Slow-LSTM |
90 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| kondiz/fraternal-dropout |
61 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
bsd-3-clause |
Python |
| hualiu01/LSTMRNNStockr |
24 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| (1) LSTM-RNN stock prices (historical closing precies of S&P500) prediction using keras with tensorflow. (2) Experiments APIs on the network's hyper-parameters are provided through './mmodel/experiment.py'. (3) a website is built using this prediction model as engine with Flask and MySQL. |
| ymao1993/TSCN |
6 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Temporal Segment Captioning Network(TSCN). |
| aub-mind/fake-news-detection |
6 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Fake News Detection: Model implementations and Hyper-Parameters |
| MennovDijk/Ethereum-Price-Prediction-using-LSTM |
5 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Capstone project for the course Deep Learning as part of the master Data Science and Society. |
| a0x8o/darkforestgo |
5 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
other |
C |
| DarkForest, the Facebook Go engine |
