| Name | Version | Summary | date |
| automl-framework |
0.1.1 |
A comprehensive, modular framework for automated machine learning with overfitting detection and mitigation |
2025-07-23 02:27:05 |
| mltb2 |
1.0.2 |
Machine Learning Toolbox 2 |
2025-01-15 09:33:53 |
| autolrtuner |
1.0.2 |
Heuristically optimize learning rates in neural networks through subsampling loss differentials. |
2024-12-20 11:02:15 |
| opda |
0.7.0 |
Design and analyze optimal deep learning models. |
2024-11-12 05:58:19 |
| featuristic |
1.1.0 |
Genetic algorithms for automated feature engineering and feature selection |
2024-04-10 14:40:08 |
| feature-engineering |
2.1.4 |
Unleash the Power of Your Data with Feature Engineering: The Ultimate Python Library for Machine Learning Preprocessing and Enhancement |
2024-04-09 02:00:21 |