| Name | Version | Summary | date |
| deep-rehab-pile |
0.1.1 |
Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark |
2025-07-29 03:01:06 |
| sktime |
0.38.4 |
A unified framework for machine learning with time series |
2025-07-17 16:24:39 |
| sysidentpy |
0.5.3 |
A Python Package For System Identification Using NARMAX Models |
2025-02-02 19:34:24 |
| tsml |
0.6.1 |
A development sandbox for time series machine learning algorithms. |
2025-01-11 21:30:00 |
| aeon |
1.0.0 |
A toolkit for machine learning from time series |
2024-11-28 17:25:52 |
| skforecast |
0.14.0 |
Skforecast is a Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others. |
2024-11-11 13:34:49 |
| multi-comp-matrix |
0.0.2 |
Multi Comparison Matrix: A long term approach to benchmark evaluations |
2024-11-04 17:02:29 |
| elastic-warping-vis |
0.2.1 |
Visualization of Elastic Warping of Time Series Data |
2024-07-29 16:59:03 |
| tsml-eval |
0.4.0 |
A package for benchmarking time series machine learning tools. |
2024-06-19 23:47:03 |