gradient-boosting-machine - 技术专题

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classifiermachine-learningrandom-foreststatistical-learningxgboostlightgbmgradient-boosting-machineensemble-learningcartdecision-tree

Here are 104 public repositories matching this topic...

awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

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A collection of research papers on decision, classification and regression trees with implementations.

classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research
  • Updated Dec 28, 2025
  • Python
awesome-gradient-boosting-papers

benedekrozemberczki / awesome-gradient-boosting-papers

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A curated list of gradient boosting research papers with implementations.

classifier machine-learning deep-learning random-forest h2o xgboost lightgbm gradient-boosting-machine adaboost decision-tree gradient-boosting-classifier classification-algorithm gradient-boosting boosting classification-trees xgboost-algorithm catboost gradient-boosted-trees classification-tree gradient-boosting-decision-trees
  • Updated Jan 5, 2026
  • Python

jphall663 / interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

python data-science machine-learning data-mining h2o gradient-boosting-machine transparency decision-tree fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability
  • Updated Jun 17, 2024
  • Jupyter Notebook

serengil / chefboost

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A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

python data-science machine-learning data-mining random-forest kaggle id3 gbdt gbm gbrt gradient-boosting-machine cart adaboost decision-trees gradient-boosting c45-trees categorical-features gradient-boosting-machines regression-tree
  • Updated May 13, 2026
  • Python

Pushp-Kharat1 / PkBoost

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PKBoost: Adaptive GBDT for Concept Drift, Built from scratch in Rust, PKBoost manages changing data distributions in fraud detection with a fraud rate of 0.2%. It shows less than 2% degradation under drift. In comparison, XGBoost experiences a 31.8% drop and LightGBM a 42.5% drop

rust machine-learning classification gbdt gbm gradient-boosting-machine imbalanced-data automl fraud-detection gradient-boosting gradient-boosting-decision-trees data-drift
  • Updated May 9, 2026
  • Rust
BoostedFactorization

benedekrozemberczki / BoostedFactorization

Sponsor

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

machine-learning data-mining word2vec sklearn deepwalk matrix-factorization dimensionality-reduction gradient-boosting-machine unsupervised-learning network-embedding nmf gradient-boosting boosting node2vec factorization-machine nmf-decomposition node-embedding l-ensnmf boosting-machine boostedne
  • Updated Sep 19, 2022
  • Python
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