16 results found Sort:

8.7k
26.3k
apache-2.0
908
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
3.8k
16.7k
mit
434
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
1.2k
8.1k
apache-2.0
191
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
87
694
apache-2.0
26
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Created 2016-11-11
611 commits to master branch, last one 9 months ago
101
460
mit
18
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
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
11
286
agpl-3.0
6
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
109
252
apache-2.0
42
An end-to-end machine learning and data mining framework on Hadoop
Created 2014-04-21
2,452 commits to master branch, last one 3 years ago
A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现
Created 2020-03-31
386 commits to master branch, last one 2 months 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 java implementation of LightGBM predicting part
Created 2017-05-04
19 commits to master branch, last one 3 years ago
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Created 2018-09-27
170 commits to master branch, last one about a month 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
19
63
other
6
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
GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装
Created 2016-06-20
108 commits to master branch, last one 3 years ago
5
34
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 2 years ago