Random Forest Frameworks

Implementations, extensions, and optimizations of Random Forest algorithms and ensemble tree-based methods. Includes deep forest variants, GPU-accelerated versions, and interpretability tools. Does NOT include general decision tree frameworks, gradient boosting methods, or neural network alternatives unless they directly extend random forests.

There are 22 random forest frameworks tracked. 3 score above 50 (established tier). The highest-rated is LAMDA-NJU/Deep-Forest at 61/100 with 962 stars and 875 monthly downloads.

Get all 22 projects as JSON

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#	Framework	Score	Tier	Stars	Language
1	LAMDA-NJU/Deep-Forest An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)	61	Established	962	Python
2	cerlymarco/linear-tree A python library to build Model Trees with Linear Models at the leaves.	58	Established	389	Jupyter Notebook
3	grf-labs/grf Generalized Random Forests	54	Established	1,075	C++
4	benedekrozemberczki/awesome-decision-tree-papers A collection of research papers on decision, classification and regression...	47	Emerging	2,460	Python
5	ysraell/random-forest-mc Random Forest with Dynamic Tree Selection Monte Carlo Based (RF-TSMC).	42	Emerging	51	Python
6	ASEM000/pytreeclass Visualize, create, and operate on pytrees in the most intuitive way possible.	40	Emerging	46	Python
7	zhaoxingfeng/RandomForest 随机森林，Random Forest（RF）	36	Emerging	431	Python
8	kingfengji/gcForest This is the official implementation for the paper 'Deep forest: Towards an...	36	Emerging	1,314	Python
9	neurodata/df-dn-paper Conceptual & empirical comparisons between decision forests & deep networks	34	Emerging	18	Jupyter Notebook
10	RyanLucas3/MacroRandomForest A modification of traditional random forest for time-series forecasting	33	Emerging	13	Jupyter Notebook
11	chriskuchar/RFX-Fuse Breiman and Cutler's Random Forests as a Forest Unified Learning and...	32	Emerging	8	C++
12	joshloyal/drforest Dimension Reduction Forests	27	Experimental	9	Jupyter Notebook
13	gammarayapp/GRB-Web-App Ensemble Learning Regression Model for GRB Redshift Estimation	25	Experimental	3	R
14	KuanHuang/predicting-heavy-metal-adsorption-in-soil A machine learning model based on gradient boosting decision tree for...	24	Experimental	16	Python
15	stabgan/Random-Forest-Classification I implemented the Random Forest Classifier in both Python and R	22	Experimental	—	Python
16	misterekkk/histree High-performance ensemble learning library optimized with Numba. Features...	22	Experimental	—	Python
17	kosnil/simplify_rf_dist Simplify your (probabilistic) random forest predictions	22	Experimental	—	Jupyter Notebook
18	nishiwen1214/PSForest Paper of ACML 2020: "PSForest: Improving Deep Forest via Feature Pooling and...	21	Experimental	41	Jupyter Notebook
19	chriskuchar/RFX GPU-accelerated Random Forest library with advanced interpretability,...	20	Experimental	14	C++
20	csinva/trees-to-networks Bridging random forests and deep neural networks. Partial implementation of...	16	Experimental	3	Jupyter Notebook
21	emirhanai/Ozone-Day-AdaBoostClassifier-and-Random-Forest-Tree-Classifier-with-Machine-Learning Ozone Day AdaBoostClassifier and Random Forest Tree Classifier with Machine Learning	13	Experimental	7	Python
22	mjuez/rotation-forest-bd 🔄🌳⚡ The Rotation Forest implementation for Big Data on Apache Spark	12	Experimental	3	Scala

Comparisons in this category

Deep-Forest and gcForest (61 vs 36) RFX-Fuse and RFX (32 vs 20)