gbm
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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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Mar 17, 2025 - C++
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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Mar 11, 2025 - C++
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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Mar 17, 2025 - C++
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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Mar 18, 2025 - Jupyter Notebook
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
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Oct 30, 2024 - Python
A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization
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Mar 17, 2025 - Rust
Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).
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Jul 6, 2022 - Java
A full pipeline AutoML tool for tabular data
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Jun 23, 2024 - Python
Performance of various open source GBM implementations
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Jun 20, 2024 - HTML
Use systemd to allow for standalone operation of kodi.
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Mar 9, 2025 - Roff
This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
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Mar 7, 2025 - Python
Train Gradient Boosting models that are both high-performance *and* Fair!
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Jun 21, 2024 - C++
Ruby Scoring API for PMML
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Oct 19, 2022 - Ruby
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
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Sep 30, 2022 - C++
Building Decision Trees From Scratch In Python
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Nov 3, 2019 - Jupyter Notebook
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
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Nov 22, 2021 - Python
Show how to perform fast retraining with LightGBM in different business cases
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Jul 18, 2019 - Jupyter Notebook
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