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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
Created
2014-02-06
7,193 commits to master branch, last one a day ago
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 tas...
Created
2016-08-05
3,601 commits to master branch, last one 5 days ago
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 computa...
Created
2017-07-18
48,788 commits to master branch, last one a day ago
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-Me...
Created
2014-03-03
32,553 commits to master branch, last one 7 days ago
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 ...
Created
2019-03-06
404 commits to master branch, last one 21 days ago
glmark2 is an OpenGL 2.0 and ES 2.0 benchmark
Created
2014-02-11
1,037 commits to master branch, last one 6 months ago
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 Mac...
Created
2017-05-17
102 commits to master branch, last one 5 years ago
A full pipeline AutoML tool for tabular data
Created
2020-10-22
763 commits to main branch, last one 5 months ago
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
Created
2024-05-20
97 commits to main branch, last one a day ago
Performance of various open source GBM implementations
Created
2017-05-27
504 commits to master branch, last one 5 months ago
Vulkan benchmark
Created
2017-07-06
139 commits to master branch, last one about a year ago
Use systemd to allow for standalone operation of kodi.
Created
2014-11-05
84 commits to master branch, last one 10 months ago
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.
Created
2019-05-20
175 commits to master branch, last one about a month ago
Train Gradient Boosting models that are both high-performance *and* Fair!
Created
2022-03-28
2,605 commits to main-fairgbm branch, last one 5 months ago
This repository has no description...
Created
2014-01-13
103 commits to master branch, last one 2 years ago
Ruby Scoring API for PMML
Created
2016-11-12
431 commits to master branch, last one 4 years ago
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
Created
2019-05-11
11 commits to master branch, last one 4 years ago
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
Created
2019-01-04
69 commits to master branch, last one 2 years ago
Nanopi M4 RK3399 base minimal image for development (mali fbdev / gbm) - Camera support
Created
2018-11-18
162 commits to master branch, last one 3 years ago
LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspired by Abhishek Thakur's AutoXGB.
Created
2022-02-12
15 commits to main branch, last one 2 years ago
mlim: single and multiple imputation with automated machine learning
Created
2022-07-27
391 commits to main branch, last one 3 months ago
A powerful tree-based uplift modeling system.
Created
2023-07-28
4 commits to master branch, last one 10 months ago