| Name | Version | Summary | date |
| ogboost |
0.6.2 |
Ordinal Gradient Boosting |
2025-02-20 07:11:10 |
| scikit-learn-intelex |
2025.2.0 |
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application. |
2025-02-18 08:57:25 |
| torchdr |
0.2 |
Torch Dimensionality Reduction Library |
2025-02-07 11:29:33 |
| skchange |
0.11.0 |
Sktime-compatible change and anomaly detection |
2025-02-03 10:08:40 |
| sktime |
0.35.1 |
A unified framework for machine learning with time series |
2025-02-03 02:09:22 |
| data-science-utils |
1.8.1 |
Data Science Utils extends the Scikit-Learn API and Matplotlib API to provide simple methods that simplify tasks and visualizations for data science projects. |
2025-01-28 19:31:41 |
| skpro |
2.9.0 |
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python |
2025-01-26 01:51:53 |
| NiaAML |
2.1.2 |
Python automated machine learning framework |
2025-01-23 08:38:48 |
| mlrl-seco |
0.11.2 |
A scikit-learn implementation of a Separate-and-Conquer (SeCo) multi-label rule learning algorithm |
2025-01-22 21:59:48 |
| mlrl-boomer |
0.11.2 |
A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label output rules |
2025-01-22 21:57:27 |
| mlrl-common |
0.11.2 |
Provides common modules to be used by different types of multi-label rule learning algorithms |
2025-01-22 21:55:35 |
| mlrl-testbed |
0.11.2 |
Provides utilities for the training and evaluation of machine learning algorithms |
2025-01-22 21:47:40 |
| tsml |
0.6.1 |
A development sandbox for time series machine learning algorithms. |
2025-01-11 21:30:00 |
| skfolio |
0.7.0 |
Portfolio optimization built on top of scikit-learn |
2025-01-01 16:11:42 |
| scikit-plots |
0.4.0rc0 |
An intuitive library to add plotting functionality to scikit-learn objects. |
2024-12-30 19:13:45 |
| pytabkit |
1.1.2 |
ML models + benchmark for tabular data classification and regression |
2024-12-23 22:35:49 |
| haupt |
2.5.3 |
Lineage metadata API, artifacts streams, sandbox, ML-API, and spaces for Polyaxon. |
2024-12-18 22:17:00 |
| sklearo |
0.1.1 |
A versatile Python package featuring scikit-learn like transformers for feature preprocessing, compatible with all kind of dataframes thanks to narwhals. |
2024-12-08 16:30:12 |
| skada |
0.4.0 |
A Python package for domain adaptation compatible with scikit-learn and Pytorch. |
2024-12-06 09:59:26 |
| aeon |
1.0.0 |
A toolkit for machine learning from time series |
2024-11-28 17:25:52 |