(ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
-
Updated
Mar 24, 2025 - Jupyter Notebook
#
tree-ensembles
Here are 16 public repositories matching this topic...
Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
machine-learning random-forest xgboost interpretability interpretable-ai explainable-ai rule-learning explainability tree-ensembles
-
Updated
Apr 22, 2024 - Python
Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
machine-learning bayesian-methods bart decision-trees bayesian-machine-learning probabilistic-models gradient-boosted-trees tree-ensembles
-
Updated
May 9, 2025 - C++
[NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"
-
Updated
Jun 6, 2021 - C++
Cost-Aware Robust Tree Ensembles for Security Applications (Usenix Security'21) https://arxiv.org/pdf/1912.01149.pdf
-
Updated
Mar 2, 2021 - Python
-
Updated
May 9, 2022 - Python
Efficient Decision tree Ensembles library for IoT edge nodes
-
Updated
Jan 29, 2025 - Python
adaXT: tree-based machine learning in Python
-
Updated
Mar 14, 2025 - Python
Distributed decision-making system with Jade and Weka
java agent distributed-systems neural-network artificial-intelligence jade weka ddm decision-trees tree-ensembles
-
Updated
Apr 12, 2020 - Java
TREe Ensemble COmpiler for efficient inferences
-
Updated
Apr 2, 2025 - Python
This repository contains my coursework and projects completed during the Machine Learning Specialization offered by DeepLearning.AI and Stanford Online.
tensorflow linear-regression supervised-learning xgboost classification artificial-neural-networks logistic-regression recommender-system regularization gradient-descent decision-trees tree-ensembles
-
Updated
Jun 12, 2023 - Jupyter Notebook
Contains solutions and notes for the Machine Learning Specialization by Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
python machine-learning deep-learning neural-network tensorflow linear-regression supervised-learning xgboost artificial-neural-networks logistic-regression recommender-system regularization gradient-descent decision-trees tree-ensembles
-
Updated
Feb 2, 2023 - Jupyter Notebook
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
reinforcement-learning tensorflow linear-regression collaborative-filtering supervised-learning xgboost gradient-descent unsupervised-learning recommender-systems anomaly-detection tree-ensembles regularization-to-avoid-overfitting advice-for-model-development logistic-regression-for-classification
-
Updated
Sep 24, 2024 - Jupyter Notebook
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
machine-learning clustering tensorflow numpy linear-regression deep-reinforcement-learning coursera project supervised-learning xgboost artificial-neural-networks logistic-regression recommender-system gradient-descent decision-trees scikitlearn-machine-learning regularization-methods logistic-regression-classifier ml-models tree-ensembles
-
Updated
Apr 13, 2023
Protree is a project examining using prototypes in explaining ensembles of tree classifiers
-
Updated
Jan 10, 2025 - Python
Comparison of tree ensemble machine learning methods in predicting revenue outcome for an e-commerce site
-
Updated
Aug 18, 2023 - Jupyter Notebook
Improve this page
Add a description, image, and links to the tree-ensembles topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the tree-ensembles topic, visit your repo's landing page and select "manage topics."