| Name | Version | Summary | date |
| multipers |
2.3.2 |
Multiparameter Topological Persistence for Machine Learning |
2025-06-01 11:44:06 |
| modelib |
0.3.0 |
A minimalist framework for online deployment of sklearn-like models |
2025-02-07 18:30:49 |
| naiveautoml |
0.1.6 |
Fast and Timeout-Free Automated Machine Learning for Multi-Class classification, Multi-Label classification, and regression. |
2025-01-25 17:31:38 |
| flama |
1.9.7 |
Fire up your models with the flame 🔥 |
2025-01-09 11:21:33 |
| pybci-package |
1.5.1 |
A Python interface to create a BCI with the Lab Streaming Layer, Pytorch, SciKit-Learn and Tensorflow packages |
2024-12-09 23:47:30 |
| featureranker |
1.2.2 |
Feature ranking ensemble |
2024-10-23 02:56:59 |
| tubular |
1.4.0 |
Package to perform pre processing steps for machine learning models |
2024-10-15 09:03:08 |
| scikit-ntk |
1.2.1 |
Implementation of the neural tangent kernel for scikit-learn's Gaussian process module. |
2024-10-07 23:21:17 |
| dRFEtools |
0.3.5 |
A package for preforming dynamic recursive feature elimination with sklearn. |
2024-07-13 03:29:32 |
| memento-ml |
1.2.0 |
A Python library for running computationally expensive experiments |
2024-07-03 22:48:30 |
| nexora |
0.1.0 |
This is an ML project in order to automate ML processes |
2024-06-12 23:39:33 |
| sklearn-ml |
2.2 |
A light package build on scikit-learn, which is used for machine learning missions.By using it, you could conveniently train and use models at the same time, and do some model comparison. |
2024-04-25 14:40:23 |