| Name | Version | Summary | date |
| pulearn |
0.0.9 |
Positive-unlabeled learning with Python |
2024-04-15 09:48:04 |
| modelib |
0.2.0 |
A minimalist framework for online deployment of sklearn-like models |
2024-03-12 17:42:43 |
| multipers |
1.2.2 |
Scikit-style Multiparameter persistence toolkit |
2024-02-21 18:14:38 |
| that-ml-library |
0.0.5 |
A useful package for EDA and quick ML model building |
2024-02-19 03:59:16 |
| scikit-transformers |
0.3.1 |
scikit-transformers is a very usefull package to enable and provide custom transformers such as LogColumnTransformer, BoolColumnTransformers and others fancy transformers. |
2024-02-09 23:42:52 |
| sklearn-special-ensembles |
1.1.3 |
A library of specialized ensembles for sklearn-type base models. |
2024-02-01 17:41:36 |
| adaptivebridge |
1.1.0 |
Revolutionizing ML adaptive modelling for handling missing features and data. The model can predict missing data in real-world scenarios. |
2024-01-29 13:21:58 |
| farsakh-df |
0.1.8 |
Data Science |
2024-01-18 19:07:17 |
| pwlreg |
1.0.1 |
A scikit-learn-compatible implementation of Piecewise Linear Regression |
2023-12-26 23:01:56 |
| pybci-package |
1.5.0 |
A Python interface to create a BCI with the Lab Streaming Layer, Pytorch, SciKit-Learn and Tensorflow packages |
2023-12-01 10:35:12 |
| autopilotml |
1.0.5 |
A package for automating machine learning tasks |
2023-11-23 20:20:08 |
| category-encoders |
2.6.3 |
A collection of sklearn transformers to encode categorical variables as numeric |
2023-10-29 20:29:54 |
| h2o-autodoc |
1.1.0 |
Create a machine learning model documentation |
2023-10-24 12:31:12 |
| sklearn-ml |
2.0 |
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. |
2023-10-15 15:45:28 |
| pipetorch |
0.17b2 |
A data pipeline library for PyTorch and Machine Learning projects |
2023-10-02 11:06:55 |
| flama |
1.6.0 |
Fire up your models with the flame 🔥 |
2023-09-27 01:28:29 |
| install-pybci |
1.1.0 |
A Python interface to create a BCI with the Lab Streaming Layer, Pytorch, SciKit-Learn and Tensorflow packages |
2023-09-03 11:38:35 |
| lccv |
0.2.0 |
The official Learning Curve Database package |
2023-08-22 19:48:31 |
| skippa |
0.1.16 |
SciKIt-learn Pre-processing Pipeline in PAndas |
2023-08-18 07:45:08 |
| naiveautoml |
0.0.27 |
The official package for the Naive AutoML paper |
2023-08-17 20:28:41 |