xgboost
Gradient boosting library
An optimized distributed gradient boosting library for machine learning
https://github.com/dmlc/xgboost
572 stars
51 watching
261 forks
Language: C++
last commit: about 8 years agoLinked from 2 awesome lists
josephmisiti/awesome-machine-learning
qinwf/awesome-rRelated projects:
| Repository | Description | Stars |
|---|---|---|
 dmlc/xgboost.jl | A Julia package implementing a distributed gradient boosting framework with efficient linear model solver and tree learning algorithms. | 288 |
 ankane/xgboost-ruby | High-performance machine learning library with a Ruby interface to XGBoost gradient boosting algorithm | 106 |
| dmlc/xgboost | An optimized distributed gradient boosting library designed to be highly efficient and flexible | 26,396 |
 gbdt-pl/gbdt-pl | An implementation of a gradient boosting algorithm with piece-wise linear regression trees for efficient machine learning model training | 151 |
 stanfordmlgroup/ngboost | A Python library implementing a machine learning boosting framework with probabilistic prediction capabilities | 1,663 |
 jinlow/forust | A package implementing a lightweight gradient boosted decision tree algorithm | 68 |
 paironair/xgboost-ruby | Ruby bindings for XGBoost gradient boosting library | 19 |
 springdaisy/gbdt | An implementation of Gradient Boosted Decision Trees with sparse output for high-dimensional data | 0 |
 scicloj/scicloj.ml.xgboost | Provides XGBoost models for machine learning tasks in Clojure | 7 |
| ankane/lightgbm-ruby | A high-performance gradient boosting library for Ruby | 75 |
 harshakokel/kigb | An open-source software framework that integrates human advice into gradient boosting decision trees for improved performance in machine learning tasks. | 8 |
 xtra-computing/thundergbm | Accelerates machine learning algorithms on GPUs to improve performance and efficiency | 695 |
 kingfengji/mgbdt | An implementation of a gradient boosting decision tree model | 102 |
 chasedehan/boostaroota | An algorithm for fast feature selection using XGBoost and other tree-based classifiers | 219 |
 datacanvasio/hypergbm | Automated machine learning tool for tabular data pipelines | 343 |