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Decision Tree Python Packages

Python packages with the GitHub topic decision-tree. Sorted by relevance, with stars and monthly downloads.
seung-lab
connected-components-3d

Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)

247K 452 49
crillab
pyxai

PyXAI (Python eXplainable AI) is a Python library (version 3.6 or later) allowing to bring formal explanations suited to (regression or classification) tree-based ML models (Decision Trees, Random Forests, Boosted Trees, ...).

15K 39 4
wsperat
forestfire-ml

Machine learning from the ground up in Rust

9K 0 0
mljar
mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

9K 3K 434
sun1638650145
classicml

An easy-to-use ML framework

3K 10 2
sametcopur
obliquetree

obliquetree is an advanced decision tree implementation featuring oblique and axis-aligned splits, optimized performance.

2K 24 4
poloclub
timbertrek

Explore and compare 1K+ accurate decision trees in your browser!

2K 169 11
Dessia-tech
dectree

A tool to explore decision trees

1K 2 1
crillab
pyxai-experimental

PyXAI (Python eXplainable AI) is a Python library (version 3.6 or later) allowing to bring formal explanations suited to (regression or classification) tree-based ML models (Decision Trees, Random Forests, Boosted Trees, ...).

999 39 4
sun1638650145
classicml-python

An easy-to-use ML framework

973 10 2
s-marton
grande

(ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

862 102 12
sbesada
pymep

Python Math Expression Parser

486 6 1
zhenlingcn
scikit-obliquetree

Oblique Decision Tree in Python

456 22 3
systemallica
decision-tree-morfist

Multi-target Random Forest implementation that can mix both classification and regression tasks.

438 4 1
thieu1995
metasklearn

MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.

397 8 0
safir72347
classic-id3-decisiontree

ID3 is a Machine Learning Decision Tree Classification Algorithm that uses two methods to build the model. The two methods are Information Gain and Gini Index.

326 3 1
CyrilWendl
density-forest

Density Forests for Uncertainty, SIE Master Project, EPFL, Spring Semester 2018

319 8 0
daniel-yj-yang
machlearn

A Simple Yet Powerful Machine Learning Python Library

186 1 0
gfyoung
tree-decode

Scikit-Learn Decision Tree Decoder

151 0 0
leffff
stackboost

Open source gradient boosting library

142 7 0
sun1638650145
classicml-lite

简单易用的经典机器学习框架

136 10 2
maoqiangqiang
get-oblique

Gradient-based Entire Tree Optimization For Oblique Decision Tree

112 1 0
csinva
treeprompt

Tree prompting

65 42 4
yoshoku
softdtree

softdtree is a Python library that implements classifier and regressor with Soft Decision Tree.

56 1 0
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