Name | Version | Summary | date |
suave-ml |
0.1.1a1 |
Deep learning model for label information-guided dimensionality reduction and multi-task learning. |
2024-12-17 02:31:44 |
sklearntools |
1.2.7 |
Tools of sklearn. Grid Search with multiprocess |
2024-12-13 01:12:50 |
category-encoders |
2.6.4 |
A collection of sklearn transformers to encode categorical variables as numeric |
2024-10-01 21:24:26 |
skml-json |
1.0.2 |
Export scikit-learn>=1.4.0 model files to JSON for sharing or deploying predictive models with peace of mind. Original by Mathieu Rodrigue |
2024-07-15 19:17:40 |
that-ml-library |
0.0.6 |
A useful package for EDA and quick ML model building |
2024-07-15 09:29:03 |
cluster-optimizer |
0.0.1 |
A GridSearchCV like object for clustering in sklearn |
2024-06-12 09:12:07 |
modelib |
0.2.0 |
A minimalist framework for online deployment of sklearn-like models |
2024-03-12 17:42:43 |
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 |
h2o-autodoc |
1.1.0 |
Create a machine learning model documentation |
2023-10-24 12:31:12 |
pipetorch |
0.17b2 |
A data pipeline library for PyTorch and Machine Learning projects |
2023-10-02 11:06:55 |
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 |
sklearn-nature-inspired-algorithms |
0.12.0 |
Search using nature inspired algorithms over specified parameter values for an sklearn estimator. |
2023-08-05 18:50:42 |
mglearn |
0.2.0 |
Helper functions for the book Introduction to machine learning with Python |
2023-06-01 02:38:58 |
ml-hyperparameters |
0.0.2 |
A basic library to help find the best hyperparameters in sklearn |
2023-05-21 12:28:27 |