| 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. |
| h2oai/h2o-3 |
7,487 |
|
62 |
33 |
6 days ago |
49 |
August 09, 2023 |
2,746 |
apache-2.0 |
Jupyter Notebook |
| H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. |
| ModelOriented/DALEX |
1,242 |
|
18 |
24 |
over 2 years ago |
29 |
January 15, 2023 |
20 |
gpl-3.0 |
Python |
| moDel Agnostic Language for Exploration and eXplanation |
| serengil/chefboost |
486 |
|
0 |
0 |
9 months ago |
17 |
February 16, 2022 |
0 |
mit |
Python |
| 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 features support for Python |
| kanyun-inc/ytk-learn |
351 |
|
0 |
0 |
almost 4 years ago |
0 |
|
|
mit |
Java |
| 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 Machines, Field-aware Factorization Machines, Logistic Regression, Softmax). |
| szilard/GBM-perf |
180 |
|
0 |
0 |
almost 5 years ago |
0 |
|
30 |
mit |
HTML |
| Performance of various open source GBM implementations |
| aws/sagemaker-xgboost-container |
109 |
|
0 |
0 |
over 2 years ago |
0 |
|
51 |
apache-2.0 |
Python |
| This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker. |
| qiyiping/gbdt |
92 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
gpl-2.0 |
C++ |
