add contributing guidelines

CONTRIBUTING.md

@@ -0,0 +1,43 @@
+# Contributing to TensorNet
+
+We love your input! We want to make contributing to this project as easy and transparent as possible, whether it's:
+
+- Reporting a bug
+- Discussing the current state of the code
+- Submitting a fix
+- Proposing new features
+- Becoming a maintainer
+
+## All Code Changes Happen Through Pull Requests
+
+Pull requests are the best way to propose changes to the codebase. We actively welcome your pull requests:
+
+1. Fork the repo and create your branch from `master`.
+2. If you've added code that should be tested, add tests.
+3. If you've changed the code, update the documentation.
+4. Make sure your code lints.
+5. Issue that pull request!
+
+## Any contributions you make will be under the MIT Software License
+
+In short, when you submit code changes, your submissions are understood to be under the same [MIT License](http://choosealicense.com/licenses/mit/) that covers the project. Feel free to contact the maintainers if that's a concern.
+
+## Report bugs using Github's [issues](https://github.com/shan18/TensorNet/issues)
+
+We use GitHub issues to track public bugs. Report a bug by [opening a new issue](); it's that easy!
+
+## Write bug reports with detail, background, and sample code
+
+**Great Bug Reports** tend to have:
+
+- A quick summary and/or background
+- Steps to reproduce
+  - Be specific!
+  - Give sample code if you can.
+- What you expected would happen
+- What actually happens
+- Notes (possibly including why you think this might be happening, or stuff you tried that didn't work)
+
+## License
+
+By contributing, you agree that your contributions will be licensed under its MIT License.

docs/index.rst

@@ -5,6 +5,9 @@ TensorNet Documentation
 
 TensorNet is a high-level deep learning library built on top of PyTorch.
 
+Installation
+------------
+
 To install and use TensorNet all you have to do is:
 
 .. code-block:: bash
@@ -30,3 +33,8 @@ If you want to get the latest version of the code before it is released on PyPI
    source/engine.ops.regularizer
    source/gradcam
    source/utils
+
+Contact/Getting Help
+--------------------
+
+If you need any help or want to report a bug, raise an `issue <https://github.com/shan18/TensorNet/issues>`_ in the repo.