| Name | Version | Summary | date |
| sktime |
0.28.0 |
A unified framework for machine learning with time series |
2024-03-28 01:36:39 |
| skfolio |
0.1.3 |
Portfolio optimization built on top of scikit-learn |
2024-03-13 08:20:10 |
| bioscience |
0.1.2 |
bioScience: A new Python science library for High-Performance Computing Bioinformatics Analytics |
2023-12-10 19:23:43 |
| skforecast |
0.11.0 |
Forecasting time series with scikit-learn regressors. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...). |
2023-11-16 21:34:59 |
| dtaianomaly |
0.1.3 |
A simple-to-use Python package for time series anomaly detection! |
2023-11-07 11:16:46 |
| automatize |
1.0b7 |
Automatize: A Multiple Aspect Trajectory Data Mining Tool Library |
2023-10-26 17:31:00 |
| convst |
0.3.0 |
The Random Dilation Shapelet Transform algorithm and associated works |
2023-06-13 09:28:18 |
| linora |
1.6.0 |
Simple and efficient tools for data mining and data analysis. |
2023-02-23 02:44:25 |
| pyTBC |
1.0.0 |
pyTBC is a python library which implements Trace-based clustering technique |
2022-12-18 22:21:59 |
| pyclustering |
0.10.1.2 |
pyclustring is a python data mining library |
2020-11-25 22:41:20 |