gbm

There are 5 repositories under gbm topic.

dmlc / xgboost
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
distributed-systems gbdt gbm gbrt machine-learning xgboost
Language:C++ 22910
LightGBM
microsoft / LightGBM
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.
gbdt gbm machine-learning data-mining distributed lightgbm gbrt microsoft decision-trees gradient-boosting python r parallel kaggle
Language:C++ 13939
catboost / catboost
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.
machine-learning decision-trees gradient-boosting gbm gbdt python r kaggle gpu-computing catboost tutorial categorical-features gpu coreml data-science big-data cuda data-mining
Language:C 6614
h2oai / h2o-3
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.
h2o machine-learning data-science deep-learning big-data ensemble-learning gbm random-forest naive-bayes pca opensource distributed java python r hadoop spark gpu automl h2o-automl
Language:Jupyter Notebook 5872
yuantiku / ytk-learn
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).
machine-learning distributed gbm gbdt logistic-regression factorization-machines spark hadoop
Language:Java 349
serengil / chefboost
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python
decision-trees gradient-boosting gradient-boosting-machine random-forest adaboost id3 c45-trees cart regression-tree gbm data-mining gradient-boosting-machines data-science kaggle gbdt gbrt machine-learning python categorical-features
Language:Python 335
glmark2 / glmark2
glmark2 is an OpenGL 2.0 and ES 2.0 benchmark
benchmark drm gbm gles2 glsl kms linux opengl opengl-es wayland x11
Language:C 274
DataCanvasIO / HyperGBM
A full pipeline AutoML tool for tabular data
automl gbm fullpipeline xgboost lightgbm catboost pseudo-labeling adversarial-validation semi-supervised-learning datacleaning preprocessing ensemble-learning tabular-data distributed-training dask gpu-acceleration
Language:Python 203
szilard / GBM-perf
Performance of various open source GBM implementations
machine-learning gradient-boosting-machine gbm h2oai xgboost lightgbm benchmark
Language:HTML 197
graysky2 / kodi-standalone-service
Use systemd to allow for standalone operation of kodi.
kodi kodi-standalone-service wayland gbm
Language:Roff 118
vkmark / vkmark
Vulkan benchmark
benchmark drm gbm kms linux vulkan wayland x11 xcb
Language:C++ 113
qiyiping / gbdt
machine-learning boosting-algorithms gbm gradient-boosting gradient-boosting-machine gbdt gbrt gradient-boosting-decision-trees
Language:C++ 92
asafschers / scoruby
Ruby Scoring API for PMML
ruby-gem pmml random-forest classification rubyml machine-learning gradient-boosting-classifier gbm ruby gradient-boosted-models decision-tree naive-bayes
Language:Ruby 69
chenhongge / RobustTrees
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
decision-trees gbrt gbm adversarial-examples gbdt robust-decision-trees xgboost
Language:C++ 57
Azure / fast_retraining
Show how to perform fast retraining with LightGBM in different business cases
lightgbm xgboost boosted-trees machine-learning gpu benchmark azure distributed-systems gbdt gbm gbrt kaggle
Language:Jupyter Notebook 55
avafinger / nanopi-m4-ubuntu-base-minimal
Nanopi M4 RK3399 base minimal image for development (mali fbdev / gbm) - Camera support
3d-mali bluetooth camera fbdev gbm kernel kodi kodi-media-center lxde mainline-linux-kernel mali nanopi-m4 opengles ov13850 ov4689 rk3399 rockchip vpu wifi
51
serengil / decision-trees-for-ml
Building Decision Trees From Scratch In Python
decision-tree gradient-boosting gradient-boosting-machine boosting bagging id3 c45 cart regression-trees lightgbm xgboost random-forest machine-learning gbm adaboost
Language:Jupyter Notebook 50
Allardvm / LightGBM.jl
LightGBM.jl provides a high-performance Julia interface for Microsoft's LightGBM.
lightgbm machine-learning gbm julia julia-language
Language:Julia 40
fabsig / KTBoost
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
boosting gbm gbdt ktboost grabit machine-learning statistics artificial-intelligence
Language:Python 39
JohnNay / forecastVeg
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
machine-learning h2o landuse gbm satellite-imagery vegetation-health modis drought prediction forecasting artificial-intelligence python hyperparameters ensemble-model ensemble r
Language:Python 39
enmSdm
adamlilith / enmSdm
Faster, better, smarter ecological niche modeling and species distribution modeling
autocorrelation biogeography boosted-trees distance distribution ecological-niche-modelling enm gbm glm maxent maxnet modeling niche niche-modelling prepare-data raster sampling-bias sdm species-distribution-modeling species-distribution-models
Language:R 35
njtierney / broomstick
:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:
decision-trees rpart broom rstats machine-learning statistical-learning gbm randomforest
Language:R 29
nanxstats / stackgbm
🌳 Stacked Gradient Boosting Machines
machine-learning decision-trees gbdt gbm gradient-boosting xgboost lightgbm catboost model-stacking ensemble-learning
Language:R 24
szilard / GBM-tune
Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
machine-learning gradient-boosting-machine gbm hyperparameter-optimization overfitting
Language:HTML 22
liupei101 / Tutorial-Machine-Learning-Based-Survival-Analysis
This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.
machine-learning survival-analysis random-forest gbm xgboost r
Language:Jupyter Notebook 21
chenhongge / treeVerification
[NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)
adversarial-attacks adversarial-machine-learning gbdt gbdt-model gbm robustness-verification xgboost
Language:C++ 19
EasyIP2023 / lucurious
:scream: Lucurious -> [Library] for building advanced DRM/KMS Vulkan Renderers :scream:
compositor science-fiction drm-renderers vulkan-renderer drm-vulkan-renderers vulkan libshaderc kms vulkan-kms gbm drm
Language:C 18
YC-Coder-Chen / Tree-Math
Math behind all the mainstream tree-based machine learning models
adaboost gbm decision-tree cart math xgboost lightgbm
18
rishiraj / autolgbm
LightGBM + Optuna
python machine-learning kaggle gbdt gbm lightgbm gbrt decision-trees gradient-boosting data-science tabular-data hyperparameter-optimization automl
Language:Python 16
spark-ensemble
pierrenodet / spark-ensemble
Ensemble Learning for Apache Spark 🌲
spark spark-ml scala bagging boosting machine-learning stacking gbm ensemble-learning
Language:Scala 15
serengil / h2o-ai-101
This repository covers h2o ai based implementations
h2o h2oai gbm gradient-boosting gradient-boosting-machine gradient-boosting-decision-trees automl auto-ml machine-learning deep-learning
Language:Jupyter Notebook 15
ZFTurbo / Covid-19-spread-prediction
Automatic short-term covid-19 spread prediction by countries and Russian regions
covid-19 gbm lag-features predictions xgboost
Language:Python 10
analyticalmonk / AnalyticsVidhya_SmartRecruits
data-science-competition data-science r gbm machine-learning h2oai
Language:R 9
charliec443 / TreeGrad
deep-neural-decision-forest autograd gbm lightgbm python machine-learning gbdt decision-trees data-mining deep-learning
Language:Jupyter Notebook 9
xiawei999000 / GBM_PCNSL_CNN_modeling
Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-parametric MRI based Convolutional Neural Network Model
multi-parametric-mri deep-learning pcnsl gbm cnn radiomics mp-mri brain tumor
Language:R 8
Kwiboo / xbmc
Kodi/OpenPHT repo
gbm kodi openpht rockchip
Language:C++ 7

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