| Name | Version | Summary | date |
| sklearn-fluent |
0.5.0 |
Linear/Multli Regression Mathematical Function in one line of code |
2025-08-22 21:23:58 |
| tubular |
1.4.7 |
Package to perform pre processing steps for machine learning models |
2025-08-21 13:21:05 |
| perfscope |
1.0.6 |
The Ultimate Python Performance Profiler & APM Tool - Production-Ready Performance Monitoring, Memory Tracking, Call Tree Analysis & Bottleneck Detection for Django, Flask, FastAPI, Async Applications, Data Science & Machine Learning |
2025-08-17 11:43:44 |
| multipers |
2.3.4 |
Multiparameter Topological Persistence for Machine Learning |
2025-08-12 16:21:00 |
| 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 |
| 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 |