| dmlc/xgboost |
25,253 |
|
796 |
972 |
about 2 years ago |
79 |
November 13, 2023 |
412 |
apache-2.0 |
C++ |
| 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 |
| microsoft/LightGBM |
15,819 |
|
278 |
574 |
about 2 years ago |
34 |
September 12, 2023 |
345 |
mit |
C++ |
| 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. |
| catboost/catboost |
7,564 |
|
0 |
12 |
about 2 years ago |
20 |
September 19, 2023 |
539 |
apache-2.0 |
Python |
| 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 computation on CPU and GPU. |
| gbm-developers/gbm3 |
131 |
|
0 |
0 |
about 2 years ago |
1 |
January 22, 2024 |
29 |
other |
R |
| Gradient boosted models |
| qiyiping/gbdt |
92 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
gpl-2.0 |
C++ |
| gbm-developers/gbm |
50 |
|
142 |
105 |
over 2 years ago |
31 |
August 11, 2022 |
1 |
other |
R |
| Gradient boosted models (the old gbm package) |
| fabsig/KTBoost |
36 |
|
0 |
0 |
over 4 years ago |
46 |
November 22, 2021 |
2 |
other |
Python |
| A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions. |
| RubixML/Housing |
34 |
|
0 |
0 |
almost 4 years ago |
6 |
May 08, 2021 |
0 |
mit |
PHP |
| An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine. |
| serengil/decision-trees-for-ml |
27 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Building Decision Trees From Scratch In Python |
| nanxstats/stackgbm |
24 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
other |
R |
| 🌳 Stacked Gradient Boosting Machines |
