a python interface to OC1 and other oblique decision tree implementations
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Updated
May 3, 2022 - C
a python interface to OC1 and other oblique decision tree implementations
obliquetree is an advanced decision tree implementation featuring oblique and axis-aligned splits, optimized performance.
Oblique Decision Tree in Python
[CIKM '24] SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks
Ensembles of Oblique Decision Trees
A collection and implementation of several variants of classical decision tree algorithm, which can serve as baselines or comparative studies of Oblique Decision Tree research.
Oblique Tree classifier based on SVM nodes
"ReLU+Argmin"-based Differentiable Decision Tree (Spotlight Paper at NeurIPS 2025)
Implementation of DTSemNet Architecture
The source for the paper "A System for Induction of Oblique Decision Trees" by S. K. Murthy and code for the original OC1.
A Python package for inducing Oblique Decision Trees using Stochastic Local Search, specifically the Late Acceptance Hill-Climbing (LAHC) algorithm.
Experimental High-Performance implementation of Oblique tree learners. Continuously PR-ing improvements into google/yggdrasil-decision-forests
"ReLU+Argmin"-based Differentiable Decision Tree (Spotlight Paper at NeurIPS 2025)
Course assignments of COL774:- Machine Learning course at IIT Delhi under Professor Rahul Garg
Gradient-based Entire Tree Optimization For Oblique Decision Tree
PrismBoost: gradient boosting with SEFR oblique splits for classification and regression
Bootstrap-Weighted Oblique Random Forest for imbalanced tabular classification. Master's thesis and BMC paper code.
hhcart oblique tree
Oblique Decision Tree implementation in Python
a python interface to OC1 and other oblique decision tree implementations
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