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25 search results found
Xgboost
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25,253
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
Hypergbm
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306
A full pipeline AutoML tool for tabular data
Kaggle Knowhow
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218
Kaggle-Knowhow(Korean Ver) 한국분들을 위한 Kaggle 자료 모음입니다
Gbm Perf
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180
Performance of various open source GBM implementations
Sagemaker Xgboost Container
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109
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.
Sparkgbm
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57
Spark-based GBM
Fast_retraining
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50
Show how to perform fast retraining with LightGBM in different business cases
Robusttrees
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43
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
Decision Trees For Ml
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27
Building Decision Trees From Scratch In Python
Stackgbm
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24
🌳 Stacked Gradient Boosting Machines
Solution_for_cikm_cup_2014
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19
solution for the 5th place of cikm cup 2014
Gbm Multicore
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19
GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
Gbm Benchmarks
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18
Treeverification
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13
[NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)
Kaggle_bosch
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11
Bosch Production Line Performance Kaggle Competition. Nr 8 on Kaggle Leaderboard.
Covid 19 Spread Prediction
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9
Automatic short-term covid-19 spread prediction by countries and Russian regions
Tutorial Machine Learning Based Survival Analysis
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9
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.
Awesome Gradient Boosting
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8
A curated list of Gradient Boosting resources for Data Scientists
H2o Ai 101
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8
This repository covers h2o ai based implementations
Tree Math
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7
Math behind all the mainstream tree-based machine learning models
Aoademomodels
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6
This repository contains the example / demo models for Teradata AnalyticOps (ModelOps). The goal of these examples is to provide a simple reference implementation for users and not to provide a detailed data science example for each use case. We provide both Python and R examples along with Classification and Regression model types.
P5 Ai Xgboost
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6
Perl wrapper for XGBoost library
H2o Tutorial
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5
H2O Tuning and Ensembling Tutorial for R
Kaggle_zestimate
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5
Zillow Prize Challenge
Xgboost Vs Catboost Vs Litegbm
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5
The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare.
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