gradient-boosted-trees
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A curated list of gradient boosting research papers with implementations.
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Mar 16, 2024 - Python
A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization
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Sep 28, 2025 - Rust
Represent trained machine learning models as Pyomo optimization formulations
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Apr 4, 2025 - Python
Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
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Dec 27, 2018 - Scala
Library for Multi-objective optimization in Gradient Boosted Trees
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Aug 19, 2024 - Python
Multiobjective black-box optimization using gradient-boosted trees
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Mar 7, 2025 - Python
Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
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Nov 5, 2025 - C++
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
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Jul 25, 2025 - PHP
Influence Estimation for Gradient-Boosted Decision Trees
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May 27, 2024 - Python
Machine Learning Tool Box
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Dec 7, 2023 - Python
OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data
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Feb 28, 2023 - Jupyter Notebook
Gradient boosting for OCaml using the R xgboost package under the carpet
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Jun 15, 2022 - OCaml
ML models trained on the SARCOS dataset
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Jan 1, 2021 - Python
PhishyAI trains ML models for Phishy, a Gmail extension which leverages ML to detect phishing attempts in all incoming emails
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Jun 17, 2024 - Python
Analysis of information about startup companies done using machine learning and data analytics methods to predict the success of the startup companies.
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Mar 13, 2023 - Jupyter Notebook
Sequential skip prediction using deep learning and ensembles
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Oct 4, 2019 - Python
An implementation of the algorithms from the camera-ready version of the paper "Coresets for Decision Trees of Signals" (NeurIPS'2021) by Ibrahim Jubran, Ernesto Evgeniy Sanches Shayda, Ilan Newman, and Dan Feldman.
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Feb 17, 2023 - Python
Machine learning multiclassification task in particle physics experiment (Belle II) with deep neural networks (DNN) and gradient boosted decision trees (XGBoost).
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Dec 8, 2019 - Jupyter Notebook
Binary text difficulty classification with tf-idf, word2vec, and other linguistic features with multinomial naive bayes, logistic regression, and gradient boosted decision trees.
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Jun 17, 2021 - Jupyter Notebook
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