| Name | Version | Summary | date |
| scikit-tree |
0.8.0 |
Modern decision trees in Python |
2024-06-24 23:51:53 |
| sklearn-smithy |
0.2.0 |
Toolkit to forge scikit-learn compatible estimators. |
2024-06-15 20:32:04 |
| niceml |
0.16.0 |
Welcome to niceML 🍦, a Python-based MLOps framework that uses TensorFlow and Dagster. This framework streamlines the development, and maintenance of machine learning models, providing an end-to-end solution for building efficient and scalable pipelines. |
2024-06-13 09:44:40 |
| NiaAML |
2.1.0 |
Python automated machine learning framework |
2024-06-12 12:19:11 |
| shogunfolio |
0.1.0 |
Portfolio optimization built on top of scikit-learn |
2024-05-25 17:55:11 |
| positional-vectorizer |
0.0.9 |
Positional Vectorizer is a scikit-learn transformer that converts text to bag of words vector using a positional ranking algorithm as score |
2024-05-21 23:41:22 |
| AutogluonToScikitWrapper |
0.0.1 |
Autogluon to Scikit Wrapper |
2024-05-16 12:00:05 |
| scikeras |
0.13.0 |
Scikit-Learn API wrapper for Keras. |
2024-04-11 22:24:07 |
| psy-transect |
0.1.0 |
Psyplot plugin for visualizing data along a transect |
2024-04-04 05:13:50 |