| Alro10/deep-learning-time-series |
1,811 |
|
0 |
0 |
over 3 years ago |
0 |
|
8 |
apache-2.0 |
Jupyter Notebook |
| List of papers, code and experiments using deep learning for time series forecasting |
| Arturus/kaggle-web-traffic |
1,402 |
|
0 |
0 |
over 7 years ago |
0 |
|
8 |
mit |
Jupyter Notebook |
| 1st place solution |
| ydataai/ydata-synthetic |
1,201 |
|
0 |
2 |
about 2 years ago |
31 |
December 08, 2023 |
46 |
mit |
Jupyter Notebook |
| Synthetic data generators for tabular and time-series data |
| Kismuz/btgym |
825 |
|
0 |
0 |
over 4 years ago |
0 |
|
11 |
lgpl-3.0 |
Python |
| Scalable, event-driven, deep-learning-friendly backtesting library |
| 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. |
| LongxingTan/Time-series-prediction |
762 |
|
0 |
0 |
over 2 years ago |
11 |
October 16, 2023 |
11 |
mit |
Python |
| tfts: Time series deep learning models in TensorFlow |
| sjvasquez/web-traffic-forecasting |
552 |
|
0 |
0 |
about 8 years ago |
0 |
|
12 |
|
Python |
| Kaggle | Web Traffic Forecasting 📈 |
| aqibsaeed/Multilabel-timeseries-classification-with-LSTM |
487 |
|
0 |
0 |
almost 9 years ago |
0 |
|
3 |
apache-2.0 |
Jupyter Notebook |
| Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks. |
| hzy46/TensorFlow-Time-Series-Examples |
425 |
|
0 |
0 |
almost 8 years ago |
0 |
|
10 |
|
Python |
| Time Series Prediction with tf.contrib.timeseries |
| KDD-OpenSource/DeepADoTS |
270 |
|
0 |
0 |
over 5 years ago |
0 |
|
7 |
mit |
Python |
| Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series". |
