Projects in Awesome Lists tagged with gbm
A curated list of projects in awesome lists tagged with gbm .
https://github.com/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
Last synced: 12 May 2025
https://github.com/lightgbm-org/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.
data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r
Last synced: 10 Mar 2026
https://github.com/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.
data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r
Last synced: 09 Sep 2025
https://github.com/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.
data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r
Last synced: 23 Apr 2025
https://github.com/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.
data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r
Last synced: 12 Mar 2025
https://github.com/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.
big-data catboost categorical-features coreml cuda data-mining data-science decision-trees gbdt gbm gpu gpu-computing gradient-boosting kaggle machine-learning python r tutorial
Last synced: 12 May 2025
https://github.com/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.
automl big-data data-science deep-learning distributed ensemble-learning gbm gpu h2o h2o-automl hadoop java machine-learning naive-bayes opensource pca python r random-forest spark
Last synced: 24 Dec 2025
https://github.com/perpetual-ml/perpetual
Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R
data-science gbdt gbm gradient-boosted-trees gradient-boosting gradient-boosting-decision-trees kaggle machine-learning python rust
Last synced: 02 Apr 2026
https://github.com/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
Last synced: 14 May 2025
https://github.com/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).
distributed factorization-machines gbdt gbm hadoop logistic-regression machine-learning spark
Last synced: 06 Apr 2025
https://github.com/datacanvasio/hypergbm
A full pipeline AutoML tool for tabular data
adversarial-validation automl catboost dask dask-distributed datacleaning distributed-training ensemble-learning fullpipeline gbm gpu-acceleration lightgbm preprocessing pseudo-labeling rapidsai semi-supervised-learning sklearn tabular-data xgboost
Last synced: 15 May 2025
https://github.com/DataCanvasIO/HyperGBM
A full pipeline AutoML tool for tabular data
adversarial-validation automl catboost dask dask-distributed datacleaning distributed-training ensemble-learning fullpipeline gbm gpu-acceleration lightgbm preprocessing pseudo-labeling rapidsai semi-supervised-learning sklearn tabular-data xgboost
Last synced: 09 May 2025
https://github.com/szilard/gbm-perf
Performance of various open source GBM implementations
benchmark gbm gradient-boosting-machine h2oai lightgbm machine-learning xgboost
Last synced: 06 Mar 2025
https://github.com/szilard/GBM-perf
Performance of various open source GBM implementations
benchmark gbm gradient-boosting-machine h2oai lightgbm machine-learning xgboost
Last synced: 14 Mar 2025
https://github.com/graysky2/kodi-standalone-service
Use systemd to allow for standalone operation of kodi.
gbm kodi kodi-standalone-service wayland
Last synced: 17 Dec 2025
https://github.com/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 distributed-training gbm inference machine-learning python sagemaker training xgboost
Last synced: 12 Jan 2026
https://github.com/feedzai/fairgbm
Train Gradient Boosting models that are both high-performance *and* Fair!
fairness fairness-ml gbm gradient-boosting lightgbm tabular-data
Last synced: 05 Apr 2025
https://github.com/asafschers/scoruby
Ruby Scoring API for PMML
classification decision-tree gbm gradient-boosted-models gradient-boosting-classifier machine-learning naive-bayes pmml random-forest ruby ruby-gem rubyml
Last synced: 09 Apr 2025
https://github.com/chenhongge/RobustTrees
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
adversarial-examples decision-trees gbdt gbm gbrt robust-decision-trees xgboost
Last synced: 27 Mar 2025
https://github.com/fabsig/ktboost
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
artificial-intelligence boosting gbdt gbm grabit ktboost machine-learning statistics
Last synced: 21 Aug 2025
https://github.com/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
Last synced: 04 Apr 2025
https://github.com/haghish/mlim
mlim: single and multiple imputation with automated machine learning
automatic-machine-learning automl classimbalance data-science elastic-net extreme-gradient-boosting gbm glm gradient-boosting gradient-boosting-machine imputation imputation-algorithm imputation-methods machine-learning missing-data multipleimputation r rstats rstats-package stack-ensemble
Last synced: 19 Feb 2026
https://github.com/jd-opensource/utboost
A powerful tree-based uplift modeling system.
causal-inference descision-tree gbm gradient-boosting uplift-modeling
Last synced: 13 Apr 2025
https://github.com/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
Last synced: 21 Mar 2025
https://github.com/nanxstats/stackgbm
🌳 Stacked Gradient Boosting Machines
automl catboost decision-trees ensemble-learning gbdt gbm gradient-boosting lightgbm machine-learning model-stacking xgboost
Last synced: 22 Apr 2025
https://github.com/pierrenodet/spark-ensemble
Ensemble Learning for Apache Spark 🌲
bagging boosting ensemble-learning gbm machine-learning scala spark spark-ml stacking
Last synced: 29 Oct 2025
https://github.com/szilard/gbm-tune
Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
gbm gradient-boosting-machine hyperparameter-optimization machine-learning overfitting
Last synced: 06 Mar 2025
https://github.com/serengil/h2o-ai-101
This repository covers h2o ai based implementations
auto-ml automl deep-learning gbm gradient-boosting gradient-boosting-decision-trees gradient-boosting-machine h2o h2oai machine-learning
Last synced: 04 Apr 2025
https://github.com/uwerat/qpagbm
A Qt platform plugin for running Qt/OpenGL applications offscreen
Last synced: 07 Apr 2025
https://github.com/zfturbo/covid-19-spread-prediction
Automatic short-term covid-19 spread prediction by countries and Russian regions
covid-19 gbm lag-features predictions xgboost
Last synced: 14 Jul 2025
https://github.com/analyticalmonk/analyticsvidhya_smartrecruits
data-science data-science-competition gbm h2oai machine-learning r
Last synced: 15 Apr 2025
https://github.com/grburgess/gbmgeometry
Routines to handle GBM geometry and plotting
fermi fermi-science gbm geometry
Last synced: 15 Jul 2025
https://github.com/grburgess/gbm_drm_gen
This provides a python based response generator for the Gamma-ray Burst Monitor (GBM). Additionally, a 3ML plugin is provided which allows for the simultaneous fitting of GRB locations and spectra.
Last synced: 15 Jul 2025
https://github.com/sankeer28/stock-predictor
Multi algorithm stock predictor built using Python and Streamlit
ai arima gbm knn lstm stock stock-analysis stock-data stock-prediction stock-price-prediction stock-trading svr xgboost
Last synced: 23 Apr 2025
https://github.com/navdeep-g/h2o-r-examples
H2O-3 Examples in R
deep-learning gbm glm h2o kmeans machine-learning rstats
Last synced: 06 Feb 2026
https://github.com/pablrod/p5-ai-xgboost
Perl wrapper for XGBoost library
gbm machine-learning perl xgboost
Last synced: 29 Apr 2025
https://github.com/fabsig/gradientnewtonboosting
Comparing gradient and Newton boosting
artificial-intelligence boosting gbdt gbm ktboost machine-learning xgboost
Last synced: 20 Mar 2025
https://github.com/asafschers/scorystal
Crystal Scoring API for PMML
crystal gbm gradient-boosting-classifier machine-learning pmml random-forest
Last synced: 16 Jun 2025
https://github.com/rohanchopra/envible-analyze-this-2017
Repository for American Express Analyse This 2017 Challenge
gbm h2o ipython-notebook machine-learning python r random-forest structured-data
Last synced: 11 Apr 2026
https://github.com/szilard/gbm-meltdown
The Effect of the Linux Kernel Page-Table Isolation (KPTI) Patch (Meltdown Vulnerability) on GBMs
gbm h2o kpti lightgbm linux-kernel machine-learning meltdown xgboost
Last synced: 29 Apr 2026
https://github.com/krzjoa/scikit-gbm
scikit-learn compatible tools to work with GBM models
data-science feature-engineering gbm gradient-boosting machine-learning scikit-learn
Last synced: 10 Jul 2025
https://github.com/speckledjim2/py_lucidum
Local-first browser workbench for exploring CSV and Parquet datasets with DuckDB, profiling, charts, UK maps, and optional GLM/GBM modelling.
browser-workbench csv data-profiling data-visualization duckdb exploratory-data-analysis fastapi gbm glm lightgbm local-first parquet python shap uk-postcodes
Last synced: 02 Aug 2026
https://github.com/tatevkaren/predicting-jop-postings-salary
Predicting Salaries of Job Applications for Job Search Engine Indeed using Machine Learning with Python Implementation
gbm k-fold-cross-validation linear-regression machine-learning metrics ml random-forest xgboost
Last synced: 08 Jul 2025
https://github.com/lehtojo/webgate
Linux image builder that creates bootable ramdisk systems for running Chromium with DRM/GBM graphics acceleration and minimal dependencies.
chromium docker drm gbm initramfs linux operating-systems
Last synced: 15 Apr 2026
https://github.com/rahulvictor12/german-bank-loan-defaulter-prediction
A machine learning project to predict loan defaults in a German bank's customer base. Using the German Credit Risk dataset, it explores key factors contributing to defaults and trains models like Random Forest, GBM, and XGBoost. Includes EDA, data processing, hyperparameter tuning, and model evaluation.
accuracy ada-boost-classifier bagging categorical-encoding data-processing exploratory-data-analysis f1-score gbm gridsearchcv hyperparameter-tuning machine-learning missing-value-handling modelevaluation precision random-forest randomsearch-cv recall xgboost
Last synced: 06 Jun 2026
https://github.com/aakbarie/predicting_home_prices
Various variable selection methods are explored
bayesian-inference gbm linear-regression model-selection modeling variable-selection
Last synced: 04 Sep 2025
https://github.com/pransu-code/marathonprediction
Case-based Time Prediction for Recreational Marathon Runners
gbm machine-learning-algorithms numpy pandas python random-forest regression-models scikit-learn seaborn sklearn
Last synced: 07 Mar 2026
https://github.com/mindful-ai-assistants/2-social-buzz-ai-gboost-and-lowdefault-modeling
2-Gradient Boosting Machines and Low-Default Modeling: A repository for research, implementation, and best practices with Gradient Boosting methods (GBM, XGBoost, LightGBM), H2O AutoML, and robust strategies for modeling extreme class imbalance ("Low Default") in data science for finance and risk.
anomaly-detection auto-machine-learning credit-risk disease-prediction financia-lmodeling fraud-detection gbm gradientboosting h2o imbalanced-data lightgbm low-default-modeling machinelearning model-interpretability natural-language-processing oneness-consciousness randomforest risk-analytics smote xgboost
Last synced: 09 Oct 2025
https://github.com/nzengi/spawn-stochastic
abm brownian-bridge feller-square-root-process gbm ornstein-uhlenbeck-process
Last synced: 02 Jan 2026
https://github.com/atharvapathak/twitter_sentiment_analysis_project
Twitter sentiment analysis is the process of analyzing tweets posted on the Twitter platform to determine the overall sentiment expressed within them. It involves using natural language processing (NLP) and machine learning techniques to classify tweets.
api bag-of-words bert cnn data gbm nltk rnn spacy twitter
Last synced: 28 Jan 2026
https://github.com/bkraad47/binnr
An easy to use Snowflake-based text clustering or LLM, tool/framework
api-rest data-science fastapi gbm gemini kmeans llama3 llm llm-training machine-learning mistral-7b ml mlops reka snowflake snowflake-cortex snowflake-ml snowpark sparkmllib swagger
Last synced: 09 May 2026
