LightGBM
Gradient booster
A high-performance gradient boosting framework for machine learning tasks
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 tasks.
17k stars
434 watching
4k forks
Language: C++
last commit: 6 days ago
Linked from 5 awesome lists
data-miningdecision-treesdistributedgbdtgbmgbrtgradient-boostingkagglelightgbmmachine-learningmicrosoftparallelpythonr
Related projects:
Repository | Description | Stars |
---|---|---|
dmlc/xgboost | An optimized distributed gradient boosting library designed to be highly efficient and flexible | 26,299 |
catboost/catboost | A fast and scalable gradient boosting on decision trees library for machine learning tasks | 8,088 |
ankane/lightgbm-ruby | A high-performance gradient boosting library for Ruby | 74 |
kingfengji/mgbdt | An implementation of a gradient boosting decision tree algorithm with target propagation capabilities | 102 |
harshakokel/kigb | An open-source software framework that integrates human advice into gradient boosting decision trees for improved performance in machine learning tasks. | 8 |
gbdt-pl/gbdt-pl | An implementation of a gradient boosting algorithm with piece-wise linear regression trees for efficient machine learning model training | 149 |
dmlc/xgboost.jl | A Julia package implementing a distributed gradient boosting framework with efficient linear model solver and tree learning algorithms. | 289 |
springdaisy/gbdt | An implementation of Gradient Boosted Decision Trees with sparse output for high-dimensional data | 0 |
datacanvasio/hypergbm | An AutoML toolkit designed to automate the entire machine learning process pipeline for tabular data | 337 |
ankane/xgboost-ruby | High-performance machine learning library with a Ruby interface to XGBoost gradient boosting algorithm | 105 |
stanfordmlgroup/ngboost | A Python library implementing a machine learning boosting framework with probabilistic prediction capabilities | 1,654 |
gbm-developers/gbm | An R package providing extensions to AdaBoost and gradient boosting machine algorithms for regression and other tasks. | 51 |
lyst/lightfm | A Python implementation of a hybrid recommendation algorithm that incorporates explicit and implicit feedback for personalized item suggestions. | 4,773 |
aksnzhy/xlearn | A high-performance machine learning package with linear models and factorization machines. | 3,087 |
jinlow/forust | A package implementing a lightweight gradient boosted decision tree algorithm | 67 |