| salesforce/pytorch-qrnn |
1,235 |
|
0 |
0 |
about 4 years ago |
0 |
|
23 |
bsd-3-clause |
Python |
| PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM |
| sjsdfg/dl4j-tutorials |
429 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
Java |
| dl4j 基础教程 配套视频：https://space.bilibili.com/327018681/#/ |
| yechengxi/LightNet |
236 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
other |
MATLAB |
| Efficient, transparent deep learning in hundreds of lines of code. |
| timothyyu/gdax-orderbook-ml |
53 |
|
0 |
0 |
over 5 years ago |
0 |
|
29 |
bsd-3-clause |
Jupyter Notebook |
| Application of machine learning to the Coinbase (GDAX) orderbook |
| haoxiangsnr/IRM-based-Speech-Enhancement-using-LSTM |
29 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
mit |
Python |
| Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM |
| MaximumEntropy/cudnn_rnn_theano_benchmarks |
22 |
|
0 |
0 |
about 9 years ago |
0 |
|
0 |
|
Python |
| fatchur/Simple-Tensor |
17 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
mit |
Python |
| A simplification of Tensorflow Tensor Operations |
| cbsudux/SOP-Generator |
16 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| A simple LSTM based Statement of Purpose Generator for grad school. |
| zachluo/convlstm_anomaly_detection |
15 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
other |
C++ |
| sxjscience/aws-summit-2017-seoul |
13 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Demo codes in our presentation about MXNet in AWS Seoul Summit 2017 |
