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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
6,878 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
3,478 commits to master branch, last one 2 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
383 commits to master branch, last one 5 months ago
Boosted trees in Julia
Created
2019-01-08
998 commits to main branch, last one 2 months ago
This repository has no description...
Created
2014-01-13
103 commits to master branch, last one about a year ago
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
Created
2019-05-11
11 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