Scikit Learn Api Python Packages

scikit-base

Base classes for creating scikit-learn-like parametric objects, and tools for working with them.

quantile-forest

Quantile Regression Forests compatible with scikit-learn.

skbase

Base classes for creating scikit-learn-like parametric objects, and tools for working with them.

scikit-garden

A garden for scikit-learn compatible trees

mpsboost

Fast gradient-boosted decision trees for Apple Silicon. A lightweight, sklearn-style Python API powered by MPS and Metal.

sslearn

The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.

lcensemble

Random Forest or XGBoost? It is Time to Explore LCE

pygtm

A python implementation of the Generative Topographic Mapping

hmc-loss

Hierarchical Multi Class validation metrics:HMC-loss

scikit-nni

AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI