Muse Demographic Membership Top Coder Data Science Marathon Match
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Updated
Mar 10, 2016 - C++
Muse Demographic Membership Top Coder Data Science Marathon Match
Electronic Parts Classification Top Coder Data Science Marathon Match
MMRF Top Coder Data Science Marathon Match
Easy xgboost installation for R users (no recursive)
This project implements a common rest server which can serve tensorflow-serving & xgboost models.
A simple stand-alone version of XGBoost named EasyXGB.
Simple C++ interface for XGBoost(binary classification)
[NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)
Real time eye tracking for embedded and mobile devices.
Auto-ML based on a coevolutionary model.
counterfactual explanations for XGBoost and tree ensemble models - counterfactual reasoning - model interpretability
Machine Learning Models Deployment using C++ Code Generation
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
Secure collaborative training and inference for XGBoost.
Predict the cost of a CMAPD assignment with XGBoost regression
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