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.

Comitters
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Committers are people who have made substantial contribution to the project and granted write access to the project.
* [Tianqi Chen](https://github.com/tqchen), University of Washington
  - Tianqi is a PhD working on large-scale machine learning, he is the creator of the project.
* [Tong He](https://github.com/hetong007), Simon Fraser University
  - Tong is a master student working on data mining, he is the maintainer of xgboost R package.
* [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)
  - Micheal is a lawyer, data scientist in France, he is the creator of xgboost interactive analysis module in R.
* [Yuan Tang](https://github.com/terrytangyuan)
  - Yuan is a data scientist in Chicago, US. He contributed mostly in R and Python packages. 

Become a Comitter
-----------------
XGBoost is a opensource project and we are actively looking for new comitters who are willing to help maintaining and lead the project.
Committers comes from contributors who:
* Made substantial contribution to the project.
* Willing to spent time on maintaining and lead the project.

New committers will be proposed by current comitter memembers, with support from more than two of current comitters.

List of Contributors
--------------------
* [Full List of Contributors](https://github.com/dmlc/xgboost/graphs/contributors)
  - To contributors: please add your name to the list when you submit a patch to the project:)
* [Kailong Chen](https://github.com/kalenhaha)
  - Kailong is an early contributor of xgboost, he is creator of ranking objectives in xgboost.
* [Skipper Seabold](https://github.com/jseabold)
  - Skipper is the major contributor to the scikit-learn module of xgboost.
* [Zygmunt Zając](https://github.com/zygmuntz)
  - Zygmunt is the master behind the early stopping feature frequently used by kagglers.
* [Ajinkya Kale](https://github.com/ajkl)
* [Boliang Chen](https://github.com/cblsjtu)
* [Vadim Khotilovich](https://github.com/khotilov)
* [Yangqing Men](https://github.com/yanqingmen)
  - Yangqing is the creator of xgboost java package.
* [Engpeng Yao](https://github.com/yepyao)
* [Giulio](https://github.com/giuliohome)
  - Giulio is the creator of windows project of xgboost
* [Jamie Hall](https://github.com/nerdcha)
  - Jamie is the initial creator of xgboost sklearn modue.
* [Yen-Ying Lee](https://github.com/white1033)
* [Masaaki Horikoshi](https://github.com/sinhrks)
  - Masaaki is the initial creator of xgboost python plotting module.
* [Hongliang Liu](https://github.com/phunterlau)
  - Hongliang is the maintainer of xgboost python PyPI package for pip installation.
* [daiyl0320](https://github.com/daiyl0320)
  - daiyl0320 contributed patch to xgboost distributed version more robust, and scales stably on TB scale datasets.
* [Huayi Zhang](https://github.com/irachex)
* [Johan Manders](https://github.com/johanmanders)
* [yoori](https://github.com/yoori)
* [Mathias Müller](https://github.com/far0n)
* [Sam Thomson](https://github.com/sammthomson)
