Distributed decision-making system with Jade and Weka

Cost-Aware Robust Tree Ensembles for Security Applications (Usenix Security'21) https://arxiv.org/pdf/1912.01149.pdf

[NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"

Contains solutions and notes for the Machine Learning Specialization by Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng

This repository contains my coursework and projects completed during the Machine Learning Specialization offered by DeepLearning.AI and Stanford Online.

Comparison of tree ensemble machine learning methods in predicting revenue outcome for an e-commerce site

Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.

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

Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng

Efficient Decision tree Ensembles libary for IoT edge nodes

adaXT: tree-based machine learning in Python

Protree is a project examining using prototypes in explaining ensembles of tree classifiers

TREe Ensemble COmpiler for efficient inferences

Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference