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The Top 23 Gbm Open Source Projects

Open source projects categorized as Gbm

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Xgboost ⭐ 24,612

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

dependent packages 832total releases 75most recent commit 3 days ago

pypi xgboost} Downloads

Lightgbm ⭐ 15,492

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.

dependent packages 499total releases 33most recent commit 12 hours ago

pypi lightgbm} Downloads

Catboost ⭐ 7,370

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.

dependent packages 6total releases 60most recent commit 17 hours ago

H2o 3 ⭐ 6,493

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.

dependent packages 32total releases 241most recent commit 21 hours ago

Dalex ⭐ 1,242

moDel Agnostic Language for Exploration and eXplanation

dependent packages 24total releases 29most recent commit 5 days ago

Chefboost ⭐ 413

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

total releases 17most recent commit 19 hours ago

Ytk Learn ⭐ 349

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).

most recent commit a year ago

Glmark2 ⭐ 333

glmark2 is an OpenGL 2.0 and ES 2.0 benchmark

most recent commit 3 months ago

Hypergbm ⭐ 286

A full pipeline AutoML tool for tabular data

total releases 6most recent commit 7 days ago

Kaggle Knowhow ⭐ 218

Kaggle-Knowhow(Korean Ver) 한국분들을 위한 Kaggle 자료 모음입니다

most recent commit 4 years ago

A Wayland compositor written in Common Lisp

most recent commit 3 years ago

Game Backup Monitor - Automatically backup your saved games!

most recent commit 3 months ago

Gbm Perf ⭐ 180

Performance of various open source GBM implementations

most recent commit 2 years ago

Vulkan benchmark

most recent commit 6 months ago

Gradient boosted models

most recent commit 4 months ago

Kodi Standalone Service ⭐ 128

Use systemd to allow for standalone operation of kodi.

most recent commit 5 months ago

experimental Wayland Vulkan compositor

most recent commit 2 years ago

Sagemaker Xgboost Container ⭐ 108

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.

most recent commit 3 days ago

A general porpose OpenGL app library

most recent commit a year ago

most recent commit a year ago

Train Gradient Boosting models that are both high-performance *and* Fair!

dependent packages 1total releases 7most recent commit 4 days ago

pypi fairgbm} Downloads

Serverstatus V ⭐ 74

云探针、多服务器探针、云监控、多服务器云监控

most recent commit 4 years ago

Bananapi Zero Ubuntu Base Minimal ⭐ 69

BananaPi M2 Zero - Ubuntu Focal Base Minimal Image (Experimental) - U-Boot 2017.09 / Kernel 4.18.y / Kernel 4.19.y / Kernel 4.20.y / Kernel 5.3.y / Kernel 5.6.y / Kernel 5.7.y / Kernel 5.11.y

most recent commit a year ago

The 7 Most Depended On Gbm Open Source Projects

Xgboost ⭐ 24,612

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

dependent packages 832total releases 75latest release June 19, 2023most recent commit 3 days ago

pypi xgboost} Downloads

Lightgbm ⭐ 15,492

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.

dependent packages 499total releases 33latest release July 13, 2023most recent commit 12 hours ago

pypi lightgbm} Downloads

Gradient boosted models (the old gbm package)

dependent packages 73total releases 30latest release July 15, 2020most recent commit 6 months ago

H2o 3 ⭐ 6,493

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.

dependent packages 32total releases 241latest release July 25, 2023most recent commit 21 hours ago

Dalex ⭐ 1,242

moDel Agnostic Language for Exploration and eXplanation

dependent packages 24total releases 29latest release January 15, 2023most recent commit 5 days ago

Catboost ⭐ 7,370

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.

dependent packages 6total releases 60latest release September 26, 2022most recent commit 17 hours ago

Train Gradient Boosting models that are both high-performance *and* Fair!

dependent packages 1total releases 7latest release September 22, 2022most recent commit 4 days ago

pypi fairgbm} Downloads

The 10 Latest Releases In Gbm Open Source Projects

H2o 3 ⭐ 6,493

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.

dependent packages 32total releases 241latest release July 25, 2023most recent commit 21 hours ago

Lightgbm ⭐ 15,492

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.

dependent packages 499total releases 33latest release July 13, 2023most recent commit 12 hours ago

pypi lightgbm} Downloads

Xgboost ⭐ 24,612

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

dependent packages 832total releases 75latest release June 19, 2023most recent commit 3 days ago

pypi xgboost} Downloads

Dalex ⭐ 1,242

moDel Agnostic Language for Exploration and eXplanation

dependent packages 24total releases 29latest release January 15, 2023most recent commit 5 days ago

Catboost ⭐ 7,370

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.

dependent packages 6total releases 60latest release September 26, 2022most recent commit 17 hours ago

Train Gradient Boosting models that are both high-performance *and* Fair!

dependent packages 1total releases 7latest release September 22, 2022most recent commit 4 days ago

pypi fairgbm} Downloads

Hypergbm ⭐ 286

A full pipeline AutoML tool for tabular data

total releases 6latest release May 31, 2022most recent commit 7 days ago

Chefboost ⭐ 413

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

total releases 17latest release February 16, 2022most recent commit 19 hours ago

A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

total releases 46latest release November 22, 2021most recent commit 2 years ago

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

total releases 6latest release May 08, 2021most recent commit a year ago

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