From d5c386ae245d8c49d9b09d22ef54ed9699fd7d46 Mon Sep 17 00:00:00 2001 From: Nan Zhu Date: Wed, 24 Jul 2019 09:38:47 -0700 Subject: [PATCH] Update CONTRIBUTORS.md --- CONTRIBUTORS.md | 40 ++++++++++++++++++++++++---------------- 1 file changed, 24 insertions(+), 16 deletions(-) diff --git a/CONTRIBUTORS.md b/CONTRIBUTORS.md index e185889eb9dc..c429167171b0 100644 --- a/CONTRIBUTORS.md +++ b/CONTRIBUTORS.md @@ -2,34 +2,42 @@ Contributors of DMLC/XGBoost ============================ XGBoost has been developed and used by a group of active community. Everyone is more than welcomed to is a great way to make the project better and more accessible to more users. -Committers +Project Management Committee(PMC) ---------- -Committers are people who have made substantial contribution to the project and granted write access to the project. +The Project Management Committee(PMC) consists group of active committers that moderate the discussion, manage the project release, and proposes new committer/PMC members. + * [Tianqi Chen](https://github.com/tqchen), University of Washington - Tianqi is a Ph.D. student working on large-scale machine learning. He is the creator of the project. -* [Tong He](https://github.com/hetong007), Amazon AI - - Tong is an applied scientist in Amazon AI. He is the maintainer of XGBoost R package. -* [Vadim Khotilovich](https://github.com/khotilov) - - Vadim contributes many improvements in R and core packages. -* [Bing Xu](https://github.com/antinucleon) - - Bing is the original creator of XGBoost Python package and currently the maintainer of [XGBoost.jl](https://github.com/antinucleon/XGBoost.jl). * [Michael Benesty](https://github.com/pommedeterresautee) - Michael is a lawyer and data scientist in France. He is the creator of XGBoost interactive analysis module in R. * [Yuan Tang](https://github.com/terrytangyuan), Ant Financial - Yuan is a software engineer in Ant Financial. He contributed mostly in R and Python packages. * [Nan Zhu](https://github.com/CodingCat), Uber - Nan is a software engineer in Uber. He contributed mostly in JVM packages. +* [Jiaming Yuan](https://github.com/trivialfis) + - Jiaming contributed to the GPU algorithms. He has also introduced new abstractions to improve the quality of the C++ codebase. +* [Hyunsu Cho](http://hyunsu-cho.io/), Amazon AI + - Hyunsu is an applied scientist in Amazon AI. He is the maintainer of the XGBoost Python package. He also manages the Jenkins continuous integration system (https://xgboost-ci.net/). He is the initial author of the CPU 'hist' updater. +* [Rory Mitchell](https://github.com/RAMitchell), University of Waikato + - Rory is a Ph.D. student at University of Waikato. He is the original creator of the GPU training algorithms. He improved the CMake build system and continuous integration. +* [Hongliang Liu](https://github.com/phunterlau) + + +Committers +---------- +Committers are people who have made substantial contribution to the project and granted write access to the project. + +* [Tong He](https://github.com/hetong007), Amazon AI + - Tong is an applied scientist in Amazon AI. He is the maintainer of XGBoost R package. +* [Vadim Khotilovich](https://github.com/khotilov) + - Vadim contributes many improvements in R and core packages. +* [Bing Xu](https://github.com/antinucleon) + - Bing is the original creator of XGBoost Python package and currently the maintainer of [XGBoost.jl](https://github.com/antinucleon/XGBoost.jl). * [Sergei Lebedev](https://github.com/superbobry), Criteo - Sergei is a software engineer in Criteo. He contributed mostly in JVM packages. -* [Hongliang Liu](https://github.com/phunterlau) * [Scott Lundberg](http://scottlundberg.com/), University of Washington - Scott is a Ph.D. student at University of Washington. He is the creator of SHAP, a unified approach to explain the output of machine learning models such as decision tree ensembles. He also helps maintain the XGBoost Julia package. -* [Rory Mitchell](https://github.com/RAMitchell), University of Waikato - - Rory is a Ph.D. student at University of Waikato. He is the original creator of the GPU training algorithms. He improved the CMake build system and continuous integration. -* [Hyunsu Cho](http://hyunsu-cho.io/), Amazon AI - - Hyunsu is an applied scientist in Amazon AI. He is the maintainer of the XGBoost Python package. He also manages the Jenkins continuous integration system (https://xgboost-ci.net/). He is the initial author of the CPU 'hist' updater. -* [Jiaming](https://github.com/trivialfis) - - Jiaming contributed to the GPU algorithms. He has also introduced new abstractions to improve the quality of the C++ codebase. + Become a Committer ------------------ @@ -91,4 +99,4 @@ List of Contributors * [Jiaxiang Li](https://github.com/JiaxiangBU) * [Bryan Woods](https://github.com/bryan-woods) - Bryan added support for cross-validation for the ranking objective -* [Haoda Fu](https://github.com/fuhaoda) \ No newline at end of file +* [Haoda Fu](https://github.com/fuhaoda)