| 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 |
| AIStream-Peelout/flow-forecast |
1,759 |
|
0 |
0 |
about 2 years ago |
0 |
|
101 |
gpl-3.0 |
Python |
| Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). |
| scorpionhiccup/StockPricePrediction |
1,132 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
mit |
Jupyter Notebook |
| Stock Price Prediction using Machine Learning Techniques |
| xuehaouwa/Awesome-Trajectory-Prediction |
863 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
|
|
| 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) |
| mikekeith52/scalecast |
292 |
|
0 |
0 |
about 2 years ago |
186 |
December 04, 2023 |
39 |
mit |
Python |
| The practitioner's forecasting library |
| EvilPsyCHo/Deep-Time-Series-Prediction |
287 |
|
0 |
0 |
over 4 years ago |
0 |
|
7 |
|
Python |
| Seq2Seq, Bert, Transformer, WaveNet for time series prediction. |
| pyaf/load_forecasting |
260 |
|
0 |
0 |
about 4 years ago |
0 |
|
12 |
mit |
Jupyter Notebook |
| Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models |
| aprbw/traffic_prediction |
237 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
TeX |
| Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries). |
