| Name | Version | Summary | date |
| sysidentpy |
0.3.4 |
A Python Package For System Identification Using NARMAX Models |
2024-05-09 23:46:50 |
| skforecast |
0.12.0 |
Forecasting time series with scikit-learn regressors. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...). |
2024-05-05 12:52:38 |
| sktime |
0.29.0 |
A unified framework for machine learning with time series |
2024-05-01 13:08:27 |
| aeon |
0.8.1 |
A toolkit for conducting machine learning tasks with time series data |
2024-04-25 12:14:29 |
| tsml |
0.4.0 |
A toolkit for time series machine learning algorithms. |
2024-04-25 10:29:23 |
| tsml-eval |
0.2.1 |
A package for benchmarking time series machine learning tools. |
2024-04-23 13:02:53 |