gbm

There are 8 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
gbdt gbrt gbm distributed-systems xgboost machine-learning
Language:C++ 25638
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++ 16123
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:Python 7780
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 6749
serengil / chefboost
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
adaboost c45-trees cart categorical-features data-mining data-science decision-trees gbdt gbm gbrt gradient-boosting gradient-boosting-machine gradient-boosting-machines id3 kaggle machine-learning python random-forest regression-tree
Language:Python 443
glmark2 / glmark2
glmark2 is an OpenGL 2.0 and ES 2.0 benchmark
opengl opengl-es benchmark x11 wayland drm kms gbm linux glsl gles2
Language:C 398
kanyun-inc / 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 347
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 dask-distributed rapidsai sklearn
Language:Python 323
szilard / GBM-perf
Performance of various open source GBM implementations
machine-learning gradient-boosting-machine gbm h2oai xgboost lightgbm benchmark
Language:HTML 211
vkmark / vkmark
Vulkan benchmark
vulkan benchmark xcb x11 wayland drm kms gbm linux
Language:C++ 171
graysky2 / kodi-standalone-service
Use systemd to allow for standalone operation of kodi.
kodi kodi-standalone-service wayland gbm
Language:Roff 159
aws / sagemaker-xgboost-container
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.
aws inference machine-learning python sagemaker training xgboost distributed-training gbm
Language:Python 115
feedzai / fairgbm
Train Gradient Boosting models that are both high-performance *and* Fair!
gbm lightgbm fairness fairness-ml gradient-boosting tabular-data
Language:C++ 98
qiyiping / gbdt
machine-learning boosting-algorithms gbm gradient-boosting gradient-boosting-machine gbdt gbrt gradient-boosting-decision-trees
Language:C++ 93
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 68
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++ 65
serengil / decision-trees-for-ml
Building Decision Trees From Scratch In Python
adaboost bagging boosting c45 cart decision-tree gbm gradient-boosting gradient-boosting-machine id3 lightgbm machine-learning random-forest regression-trees xgboost
Language:Jupyter Notebook 61
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 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
rk3399 mali fbdev nanopi-m4 kernel rockchip kodi 3d-mali lxde vpu wifi bluetooth kodi-media-center gbm opengles mainline-linux-kernel camera ov4689 ov13850
53
enmSdm
adamlilith / enmSdm
Faster, better, smarter ecological niche modeling and species distribution modeling
niche modeling distribution biogeography sdm enm autocorrelation distance raster maxent glm gbm boosted-trees maxnet ecological-niche-modelling niche-modelling species-distribution-modeling species-distribution-models prepare-data sampling-bias
Language:R 45
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 45
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
YC-Coder-Chen / Tree-Math
Math behind all the mainstream tree-based machine learning models
adaboost gbm decision-tree cart math xgboost lightgbm
35
rishiraj / autolgbm
LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspired by Abhishek Thakur's AutoXGB.
python machine-learning kaggle gbdt gbm lightgbm gbrt decision-trees gradient-boosting data-science tabular-data hyperparameter-optimization automl
Language:Python 31
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 28
njtierney / broomstick
:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:
broom decision-trees gbm machine-learning randomforest rpart rstats statistical-learning
Language:R 28
bottama / stochastic-asset-pricing-in-continuous-time
Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method
asset-pricing financial-modeling stochastic-processes stochastic-differential-equations geometric-brownian-motion wiener-process monte-carlo monte-carlo-simulation capital-markets arbitrage-pricing risk-neutral-probability gbm sde drift
Language:Python 27
haghish / mlim
mlim: single and multiple imputation with automated machine learning
automatic-machine-learning automl data-science elastic-net extreme-gradient-boosting gbm glm gradient-boosting gradient-boosting-machine imputation imputation-algorithm imputation-methods machine-learning missing-data stack-ensemble r rstats rstats-package classimbalance multipleimputation
Language:R 25
stackgbm
nanxstats / stackgbm
🌳 Stacked Gradient Boosting Machines
machine-learning decision-trees gbdt gbm gradient-boosting xgboost lightgbm catboost model-stacking ensemble-learning automl
Language:R 25
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)
robustness-verification gbdt-model xgboost gbm gbdt adversarial-attacks adversarial-machine-learning
Language:C++ 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
8bit-pixies / TreeGrad
deep-neural-decision-forest autograd gbm lightgbm python machine-learning gbdt decision-trees data-mining deep-learning
Language:Jupyter Notebook 21
caramel2001 / Financial-Derivative-Analysis-and-Simulation
Pricing and Analysis of Financial Derivative by Credit Suisse using Monte Carlo, Geometric Brownian Motion, Heston Model, CIR model, estimating greeks such as delta, gamma etc, Local volatility model incorporated with variance reduction.(For MH4518 Project)
cir-model derivatives-pricing heston-stochastic-volatility monte-carlo-simulation python variance-reduction local-volatility-model implied-volatility geometric-brownian-motion cox-ingersoll-ross numpy mh4518 simulation-techniques-in-finance mh4518-ntu simulation-modeling gbm
Language:Jupyter Notebook 20
jd-opensource / UTBoost
A powerful tree-based uplift modeling system.
causal-inference descision-tree gbm gradient-boosting uplift-modeling
Language:C++ 20
spark-ensemble
pierrenodet / spark-ensemble
Ensemble Learning for Apache Spark 🌲
spark spark-ml scala bagging boosting machine-learning stacking gbm ensemble-learning
Language:Scala 20