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8.7k
26.6k
apache-2.0
909
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
7,334 commits to master branch, last one 18 hours ago
3.9k
17.0k
mit
436
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
3,645 commits to master branch, last one 13 hours ago
101
471
mit
17
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 3 months ago
22
185
apache-2.0
6
Boosted trees in Julia
Created 2019-01-08
1,002 commits to main branch, last one 25 days ago
69
93
gpl-2.0
12
This repository has no description...
Created 2014-01-13
103 commits to master branch, last one 2 years ago
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Created 2018-09-27
170 commits to master branch, last one 4 months 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
5
35
apache-2.0
1
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 3 years ago