A simple stand-alone version of XGBoost named EasyXGB.
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Updated
Aug 30, 2018 - C++
A simple stand-alone version of XGBoost named EasyXGB.
Predict the cost of a CMAPD assignment with XGBoost regression
Easy xgboost installation for R users (no recursive)
counterfactual explanations for XGBoost and tree ensemble models - counterfactual reasoning - model interpretability
Muse Demographic Membership Top Coder Data Science Marathon Match
S-BDT: Distributed Differentially Private Boosted Decision Trees
Electronic Parts Classification Top Coder Data Science Marathon Match
MMRF Top Coder Data Science Marathon Match
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, Flink and DataFlow
Auto-ML based on a coevolutionary model.
Machine Learning Models Deployment using C++ Code Generation
Simple C++ interface for XGBoost(binary classification)
This project implements a common rest server which can serve tensorflow-serving & xgboost models.
[NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
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