xgboost
Gradient boosting library
An optimized distributed gradient boosting library for machine learning
https://github.com/dmlc/xgboost
571 stars
51 watching
261 forks
Language: C++
last commit: over 6 years ago
Linked from 2 awesome lists
Related 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. | 289 |
ankane/xgboost-ruby | High-performance machine learning library with a Ruby interface to XGBoost gradient boosting algorithm | 105 |
dmlc/xgboost | An optimized distributed gradient boosting library designed to be highly efficient and flexible | 26,299 |
gbdt-pl/gbdt-pl | An implementation of a gradient boosting algorithm with piece-wise linear regression trees for efficient machine learning model training | 149 |
stanfordmlgroup/ngboost | A Python library implementing a machine learning boosting framework with probabilistic prediction capabilities | 1,654 |
jinlow/forust | A package implementing a lightweight gradient boosted decision tree algorithm | 67 |
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 | 74 |
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 | 693 |
kingfengji/mgbdt | An implementation of a gradient boosting decision tree algorithm with target propagation capabilities | 102 |
chasedehan/boostaroota | An algorithm for fast feature selection using XGBoost and other tree-based classifiers | 219 |
datacanvasio/hypergbm | An AutoML toolkit designed to automate the entire machine learning process pipeline for tabular data | 337 |