Contributors of DMLC/MXNet
==========================
MXNet has been developed by a community of people who are interested in large-scale machine learning and deep learning.
Everyone is more than welcomed to is a great way to make the project better and more accessible to more users.

Committers
----------
Committers are people who have made substantial contribution to the project and being active.
The committers are the granted write access to the project.

* [Bing Xu](https://github.com/antinucleon)
  - Bing is the initiator and major contributor of operators and ndarray modules of mxnet.
* [Tianjun Xiao](https://github.com/sneakerkg)
  - Tianqjun is the master behind the fast data loading and preprocessing.
* [Yutian Li](https://github.com/hotpxl)
  - Yutian is the ninja behind the dependency and storage engine of mxnet.
* [Mu Li](https://github.com/mli)
  - Mu is the contributor of the distributed key-value store in mxnet.
* [Tianqi Chen](https://github.com/tqchen)
  - Tianqi is one of the initiator of the mxnet project.
* [Min Lin](https://github.com/mavenlin)
  - Min is the guy behind the symbolic magics of mxnet.
* [Naiyan Wang](https://github.com/winstywang)
  - Naiyan is the creator of static symbolic graph module of mxnet.
* [Mingjie Wang](https://github.com/jermainewang)
  - Mingjie is the initiator, and contributes the design of the dependency engine.
* [Chuntao Hong](https://github.com/hjk41)
  - Chuntao is the initiator and provides the initial design of engine.
* [Chiyuan Zhang](https://github.com/pluskid)
  - Chiyuan is the creator of MXNet Julia Package.
* [Qiang Kou](https://github.com/thirdwing)
  - KK is a R ninja, he makes mxnet available for R users.
* [Tong He](https://github.com/hetong007)
  - Tong is the major maintainer of MXNetR, he designs the mxnet interface and wrote many of the tutorials on R.
* [Yizhi Liu](https://github.com/javelinjs)
  - Yizhi is the main creator on mxnet scala project to make deep learning available for JVM stacks.
* [Zixuan Huang](https://github.com/yanqingmen)
  - Zixuan is one of major maintainers of mxnet scala package.
* [Yuan Tang](https://github.com/terrytangyuan)
  - Yuan is one of major maintainers of mxnet scala package.

### Become a Comitter
MXNet 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 actively 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/mxnet/graphs/contributors)
  - To contributors: please add your name to the list when you submit a patch to the project:)
* [Feng Wang](https://github.com/happynear)
  - Feng makes mxnet compatible with Windows Visual Studio.
* [Jack Deng](https://github.com/jdeng)
  - Jack created the amalgamation script and Go bind for mxnet.
* [Li Dong](https://github.com/donglixp)
* [Piji Li](https://github.com/lipiji)
* [Hu Shiwen](https://github.com/yajiedesign)
* [Boyuan Deng](https://github.com/bryandeng)
* [Junran He](https://github.com/junranhe)
  - Junran makes device kvstore allocation strategy smarter
* [Shuzhe Wu](https://github.com/II-Matto)
* [Xiaodong](https://github.com/XD-DENG)
* [Nan Xiao](https://github.com/road2stat)
* [Junyuan Xie](https://github.com/piiswrong)
* [Wei Wu](https://github.com/tornadomeet)
* [Michaël Benesty](https://github.com/pommedeterresautee)
  -Michaël contributes the R visualization module of mxnet
* [Kublai Jing](https://github.com/Kublai-Jing)
* [chenjx1005](https://github.com/chenjx1005)
* [ry](https://github.com/ry)
* [Ming Zhang](https://github.com/starimpact)
* [sxjscience](https://github.com/sxjscience)
* [Zheng Xu](https://github.com/XericZephyr)
* [Valentin Churavy](https://github.com/vchuravy)
* [Luke Metz](https://github.com/lukemetz)
* [Guosheng Dong](https://github.com/dongguosheng)
* [yang1fan2](https://github.com/yang1fan2)
* [Wang Gu](https://github.com/wangg12)
* [Zhenchuan Huang](https://github.com/chuan92)
* [Hang Su](https://github.com/suhangpro)
* [Rinu Boney](https://github.com/rinuboney)
* [nowozin](https://github.com/nowozin)
* [Mathis](https://github.com/sveitser)
* [sennendoko](https://github.com/sennendoko)
* [srand99](https://github.com/srand99)
* [Yizhi Liu](https://github.com/javelinjs)
* [Taiyun](https://github.com/taiyun)
* [Yanghao Li](https://github.com/lyttonhao)
* [Nan Zhu](https://github.com/CodingCat)
* [Ye Zhou](https://github.com/zhouye)
* [Zhang Chen](https://github.com/zhangchen-qinyinghua)
* [Xianliang Wang](https://github.com/wangxianliang)
* [Junru Shao](https://github.com/yzgysjr)
* [Xiao Liu](https://github.com/skylook)
* [Lowik CHANUSSOT](https://github.com/Nzeuwik)
* [Alexander Skidanov](https://github.com/SkidanovAlex)
* [Ruixiang Zhang](https://github.com/sodabeta7)
* [Lodewic van Twillert](https://github.com/Lodewic)
* [Aditya Kumar](https://github.com/hiraditya)
* [Dan Becker](https://github.com/dansbecker)
* [Yun Yan](https://github.com/Puriney)
* [Tao Wei](https://github.com/taoari)
* [Max Kuhn](https://github.com/topepo)
* [Yuqi Li](https://github.com/ziyeqinghan)
* [Depeng Liang](https://github.com/Ldpe2G)
