Name | Version | Summary | date |
fylearn |
0.2.1 |
Fuzzy Machine Learning Algorithms |
2024-06-26 13:36:54 |
lmdiag |
0.4.1 |
Diagnostic Plots for Lineare Regression Models. Similar to plot.lm in R. |
2024-06-25 09:11:20 |
scikit-tree |
0.8.0 |
Modern decision trees in Python |
2024-06-24 23:51:53 |
skpro |
2.3.2 |
A unified framework for probability distributions and probabilistic supervised regression |
2024-06-23 15:59:02 |
skchange |
0.5.2 |
Sktime-compatible change and anomaly detection |
2024-06-21 14:15:24 |
PySCIPOpt-ML |
1.2.0 |
automatically formulate and embed ML models into MIPs with SCIP |
2024-06-21 08:33:25 |
scikit-base |
0.8.1 |
Base classes for sklearn-like parametric objects |
2024-06-21 00:11:06 |
skfolio |
0.2.3 |
Portfolio optimization built on top of scikit-learn |
2024-06-20 16:32:37 |
scikit-learn-intelex |
2024.5.0 |
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application. |
2024-06-20 15:40:26 |
daal4py |
2024.5.0 |
Intel® oneAPI Data Analytics Library |
2024-06-20 15:40:12 |
sklearn2c |
0.0.2 |
A simple tool to embed scikit-learn models into microcontrollers |
2024-06-16 18:47:51 |
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 |
sktime |
0.30.0 |
A unified framework for machine learning with time series |
2024-06-03 23:23:03 |
NiaAML-GUI |
0.3.1 |
GUI for NiaAML Python package |
2024-06-02 10:04:40 |
aeon |
0.9.0 |
A toolkit for machine learning from time series |
2024-05-31 20:12:11 |
haupt |
2.2.0 |
Lineage metadata API, artifacts streams, sandbox, ML-API, and spaces for Polyaxon. |
2024-05-28 16:44:22 |
felimination |
0.2.3 |
This library contains some useful scikit-learn compatible classes for feature selection. |
2024-05-28 09:30:13 |
shogunfolio |
0.1.0 |
Portfolio optimization built on top of scikit-learn |
2024-05-25 17:55:11 |