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#

gradient-boosted-trees

Here are 53 public repositories matching this topic...

awesome-gradient-boosting-papers

A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization

  • UpdatedSep 28, 2025
  • Rust
OMLT

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

  • UpdatedDec 27, 2018
  • Scala

A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

  • UpdatedMar 14, 2025
  • Python

Library for Multi-objective optimization in Gradient Boosted Trees

  • UpdatedAug 19, 2024
  • Python

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

  • UpdatedNov 5, 2025
  • C++

OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data

  • UpdatedFeb 28, 2023
  • Jupyter Notebook

Gradient boosting for OCaml using the R xgboost package under the carpet

  • UpdatedJun 15, 2022
  • OCaml

ML models trained on the SARCOS dataset

  • UpdatedJan 1, 2021
  • Python

PhishyAI trains ML models for Phishy, a Gmail extension which leverages ML to detect phishing attempts in all incoming emails

  • UpdatedJun 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.

  • UpdatedMar 13, 2023
  • Jupyter Notebook

Sequential skip prediction using deep learning and ensembles

  • UpdatedOct 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.

  • UpdatedFeb 17, 2023
  • Python

Machine learning multiclassification task in particle physics experiment (Belle II) with deep neural networks (DNN) and gradient boosted decision trees (XGBoost).

  • UpdatedDec 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.

  • UpdatedJun 17, 2021
  • Jupyter Notebook

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