| Name | Version | Summary | date |
| mlrl-testbed-sklearn |
0.12.3 |
Adds support for the scikit-learn framework to the package "mlrl-testbed" |
2025-08-02 16:56:40 |
| mlrl-seco |
0.12.3 |
A scikit-learn implementation of a Separate-and-Conquer (SeCo) multi-label rule learning algorithm |
2025-08-02 16:56:23 |
| mlrl-common |
0.12.3 |
Provides common modules to be used by different types of multi-label rule learning algorithms |
2025-08-02 16:56:04 |
| mlrl-boomer |
0.12.3 |
A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label output rules |
2025-08-02 16:55:44 |
| skclust |
2025.7.26 |
A comprehensive clustering toolkit with advanced tree cutting and visualization |
2025-08-02 02:05:24 |
| haupt |
2.9.1 |
Lineage metadata API, artifacts streams, sandbox, ML-API, and spaces for Polyaxon. |
2025-08-01 12:48:55 |
| NiaAML-GUI |
0.4.2 |
GUI for NiaAML Python package |
2025-07-31 08:34:56 |
| skpro |
2.9.2 |
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python |
2025-07-28 16:40:36 |
| pytabkit |
1.6.0 |
ML models + benchmark for tabular data classification and regression |
2025-07-27 17:40:09 |
| decisioncanvas |
1.0.1 |
Easy decision boundary visualization for classifiers |
2025-07-27 07:00:04 |
| skfolio |
0.11.0 |
Portfolio optimization built on top of scikit-learn |
2025-07-26 20:36:29 |
| mlfcrafter |
0.1.1 |
ML Pipeline Automation Framework - Chain together data processing, model training, and deployment with minimal code |
2025-07-26 10:48:34 |
| nlpbasekit |
0.1.4 |
An easy-to-use library with advanced preprocessing features to streamline and accelerate machine learning workflows. |
2025-07-25 14:26:05 |
| scikit-base |
0.12.4 |
Base classes for sklearn-like parametric objects |
2025-07-23 22:15:25 |
| automl-framework |
0.1.1 |
A comprehensive, modular framework for automated machine learning with overfitting detection and mitigation |
2025-07-23 02:27:05 |
| MaldiAMRKit |
0.2.2 |
Toolkit to read and preprocess MALDI-TOF mass-spectra for AMR analyses. |
2025-07-22 12:44:40 |
| automl-lite |
0.1.1 |
A simplified automated machine learning package for non-experts |
2025-07-22 07:43:56 |
| cross_ml |
2.0.1 |
⚠️ DEPRECATED: Please use BeaverFE instead (https://pypi.org/project/beaverfe/) |
2025-07-21 08:52:30 |
| mlinsights |
0.5.2 |
Extends the list of supported operators in onnx reference implementation and onnxruntime, or implements faster versions in C++. |
2025-07-20 06:52:44 |
| sktime |
0.38.4 |
A unified framework for machine learning with time series |
2025-07-17 16:24:39 |