| maxfields2000/dockerjenkins_tutorial |
693 |
|
0 |
0 |
over 6 years ago |
0 |
|
6 |
apache-2.0 |
Shell |
| A repository for items learned in my Getting Started with Jenkins and Docker tutorial series |
| maxjcohen/transformer |
691 |
|
0 |
0 |
almost 3 years ago |
0 |
|
6 |
gpl-3.0 |
Jupyter Notebook |
| Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series. |
| JulesBelveze/time-series-autoencoder |
386 |
|
0 |
0 |
almost 3 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| :chart_with_upwards_trend: PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series :chart_with_upwards_trend: |
| mlpotter/Transformer_Time_Series |
331 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019) |
| EvilPsyCHo/Deep-Time-Series-Prediction |
287 |
|
0 |
0 |
over 4 years ago |
0 |
|
7 |
|
Python |
| Seq2Seq, Bert, Transformer, WaveNet for time series prediction. |
| bighuang624/Time-Series-Papers |
262 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
|
| List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法 |
| Seanny123/da-rnn |
242 |
|
0 |
0 |
about 5 years ago |
0 |
|
20 |
|
Python |
| Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction |
| Zhenye-Na/DA-RNN |
234 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| 📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971) |
| bighuang624/DSANet |
140 |
|
0 |
0 |
about 5 years ago |
0 |
|
2 |
|
Python |
| Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting". |
| LiamMaclean216/Pytorch-Transfomer |
95 |
|
0 |
0 |
almost 5 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| My implementation of the transformer architecture from the Attention is All you need paper applied to time series. |
