| ourownstory/neural_prophet |
3,512 |
|
0 |
3 |
about 2 years ago |
24 |
September 19, 2023 |
45 |
mit |
Python |
| NeuralProphet: A simple forecasting package |
| 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 |
| philipperemy/n-beats |
686 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. |
| kristpapadopoulos/seriesnet |
202 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
mit |
Python |
| Time series prediction using dilated causal convolutional neural nets (temporal CNN) |
| josejimenezluna/nnet-ts |
94 |
|
0 |
0 |
over 8 years ago |
9 |
June 30, 2016 |
1 |
other |
Python |
| Neural network architecture for time series forecasting. |
| danielgy/Paper-List-of-Time-Series-Forecasting-with-Deep-Learning |
75 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
|
| alexmonti19/dagnet |
72 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting" |
| jjdabr/forecastNet |
59 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
mit |
Python |
| Code for the paper entitled "ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting" |
| gakhov/pycon-ua-2018 |
57 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Talk at PyCon UA 2018 (Kharkov, Ukraine) |
| jiegzhan/time-series-forecasting-rnn-tensorflow |
56 |
|
0 |
0 |
over 7 years ago |
0 |
|
7 |
apache-2.0 |
Python |
| Time series forecasting |
