[DOC/LICENSE] Make doc and license consistent, opensource repo when we get approval (#134)

CONTRIBUTORS.md

+Contributors of TVM
+===================
+TVM adopts Apache style committer model. The package is developed and used by the community.
+
+We actively seek committers that comes from contributors who:
+- Made substantial contribution to the project.
+- Willing to spent time on maintaining and lead the project.
+
+How to Contribute
+-----------------
+See [Contributor guide](docs/how_to/contribute.md) on how to contribute
+
+Committers
+----------
+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
+- [Thierry Moreau](http://homes.cs.washington.edu/~moreau/), University of Washington
+* [Haichen Shen](http://homes.cs.washington.edu/~haichen/), University of Washington
+* [Ziheng Jiang](https://github.com/ZihengJiang), Fudan University
+
+List of Contributors
+--------------------
+- [Full List of Contributors](https://github.com/dmlc/tvm/graphs/contributors)
+  - To contributors: please add your name to the list.
+- [Qiao Zhang](https://github.com/zhangqiaorjc)
+- [Yizhi Liu](https://github.com/javelinjs)

NEWS.md

@@ -4,6 +4,7 @@ TVM Change Log
 This file records the changes in TVM library in reverse chronological order.
 
 ## Initial version (0.1rc)
+- Pack libary into shared library.
 - External function and contrib libraries
 - Metal backend
 - OpenCL backend

README.md

 [![Build Status](https://travis-ci.com/tqchen/tvm.svg?token=ZQpnpAReT4LHdjWAX8jR&branch=master)](https://travis-ci.com/dmlc/tvm)
+[![GitHub license](http://dmlc.github.io/img/apache2.svg)](./LICENSE)
 
 [Installation](docs/how_to/install.md) |
 [Documentation](docs) |
 [Tutorials](tutorials) |
-[Contributor Guide](docs/how_to/contribute.md) |
+[Contributors](CONTRIBUTORS.md) |
 [Release Notes](NEWS.md)
 
-# TVM
+TVM
+===
+
 TVM is a low level domain specific language(DSL) for compiling tensor computation pipelines.
 It is designed to compile multi-dimensional tensor algebra pipelines which
 are crucial to deep learning frameworks.
 
+Contribute to TVM
+-----------------
+Your help is very valuable to make the package better for everyone.
+- [Contributor Guide](docs/how_to/contribute.md)
+- Please add your name to [CONTRIBUTORS.md](CONTRIBUTORS.md)
+- Please also update [NEWS.md](NEWS.md) on changes and improvements in API and codes.
+
 ## Documentation
 The current documentation can be build locally via sphinx. See [docs](docs) folder for details.

docs/how_to/contribute.md

 # Contribute to TVM
 
-TVM has been developed and used by a group of active community members.
+TVM has been developed by community members.
 Everyone is more than welcome to contribute. It is a way to make the project better and more accessible to more users.
 
+- Please add your name to [CONTRIBUTORS.md](../../CONTRIBUTORS.md)
 - Please update [NEWS.md](../../NEWS.md) to add note on your changes to the API or added a new document.
 
 ## Guidelines