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Random Forest Python Packages

Python packages with the GitHub topic random-forest. Sorted by relevance, with stars and monthly downloads.
microsoft
flaml

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

960K 4K 560
tensorflow
tensorflow-decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

677K 692 116
google
ydf

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

557K 656 80
h2oai
h2o

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

235K 7K 2K
AnotherSamWilson
miceforest

Multiple Imputation with LightGBM in Python

106K 407 34
biolab
orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

100K 6K 1K
parrt
dtreeviz

A python library for decision tree visualization and model interpretation.

91K 3K 340
zillow
quantile-forest

Quantile Regression Forests compatible with scikit-learn.

60K 254 30
automl
smac

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

36K 1K 242
EpistasisLab
tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

31K 10K 2K
linkedin
fasttreeshap

Fast SHAP value computation for interpreting tree-based models

29K 557 37
cerlymarco
linear-tree

A python library to build Model Trees with Linear Models at the leaves.

22K 389 61
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
aertslab
arboreto

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

13K 67 37
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
emlearn
emlearn

Machine Learning inference engine for Microcontrollers and Embedded devices

6K 726 73
diyabc
pyabcranger

ABC random forests for model choice and parameter estimation, pure C++ implementation

5K 10 4
crflynn
skranger

scikit-learn compatible Python bindings for ranger C++ random forest library

4K 55 10
google
ydf-tf

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

3K 656 80
previsionio
previsionio

python wrapper for prevision api

3K 8 3
h2oai
h2o-client

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

2K 7K 2K
mljar
supertree

Visualize decision trees in Python

2K 535 19
sunnyadn
crforest

Python toolkit for competing risks: forest (RSF) today; Fine-Gray + Aalen-Johansen + Gray's test + cause-specific Cox in v0.4. Scales to n=10⁶ in ~1 min, 10–22× faster than randomForestSRC on real EHR data, sklearn-compatible.

2K 4 0
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