| Name | Version | Summary | date |
| haupt |
2.5.3 |
Lineage metadata API, artifacts streams, sandbox, ML-API, and spaces for Polyaxon. |
2024-12-18 22:17:00 |
| skchange |
0.10.0 |
Sktime-compatible change and anomaly detection |
2024-12-13 08:03:29 |
| scikit-learn-intelex |
2025.0.1 |
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application. |
2024-12-12 12:05:46 |
| sktime |
0.35.0 |
A unified framework for machine learning with time series |
2024-12-09 16:14:48 |
| 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 |
| scikit-plots |
0.4.0.post0 |
An intuitive library to add plotting functionality to scikit-learn objects. |
2024-12-08 08:25:09 |
| 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 |
| pytabkit |
1.1.1 |
ML models + benchmark for tabular data classification and regression |
2024-11-24 22:07:52 |
| skfolio |
0.5.2 |
Portfolio optimization built on top of scikit-learn |
2024-11-17 21:58:00 |
| skpro |
2.8.0 |
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python |
2024-11-17 17:15:55 |
| scikit-base |
0.12.0 |
Base classes for sklearn-like parametric objects |
2024-11-13 21:49:13 |
| tsml |
0.5.0 |
A development sandbox for time series machine learning algorithms. |
2024-11-13 11:23:30 |
| skforecast |
0.14.0 |
Skforecast is a Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others. |
2024-11-11 13:34:49 |
| gurobi-machinelearning |
1.5.2 |
package to insert ML models in Gurobi |
2024-11-09 14:37:57 |
| DataRefine |
1.0 |
A no-code solution for performing data cleaning like misssing value imputation,outlier handling,normalisation,transformation and quality check with an intuitive interface for interactive DataFrame manipulation and easy CSV export. |
2024-11-02 16:34:00 |
| datarefi |
1.6 |
A no-code solution for performing data cleaning like misssing value imputation,outlier handling,normalisation,transformation and quality check with an intuitive interface for interactive DataFrame manipulation and easy CSV export. |
2024-11-02 14:08:42 |
| sklearn2c |
0.0.4 |
A simple tool to embed scikit-learn models into microcontrollers |
2024-10-27 19:16:44 |
| data-science-utils |
1.8.0 |
This project is an ensemble of methods which are frequently used in python Data Science projects. |
2024-10-08 06:42:59 |
| mlrl-boomer |
0.11.1 |
A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label classification rules |
2024-09-24 21:25:46 |