Add badges; update content

README.md

@@ -5,6 +5,8 @@
 [![GitHub version](https://badge.fury.io/gh/ecrl%2FGraphChem.svg)](https://badge.fury.io/gh/ecrl%2FGraphChem)
 [![PyPI version](https://badge.fury.io/py/graphchem.svg)](https://badge.fury.io/py/graphchem)
 [![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg)](https://raw.githubusercontent.com/ecrl/GraphChem/master/LICENSE.txt)
+[![Documentation Status](https://readthedocs.org/projects/graphchem/badge/?version=latest)](https://graphchem.readthedocs.io/en/latest/?badge=latest)
+[![Build Status](https://dev.azure.com/uml-ecrl/package-management/_apis/build/status%2Fecrl.graphchem?branchName=master)](https://dev.azure.com/uml-ecrl/package-management/_build/latest?definitionId=6&branchName=master)
 
 **GraphChem** is an open source Python package for constructing graph-based machine learning models with a focus on fuel property prediction. 
 

docs/index.md

@@ -1,7 +1,7 @@
-# GraphChem Documentation
-
 [![UML Energy & Combustion Research Laboratory](https://sites.uml.edu/hunter-mack/files/2021/11/ECRL_final.png)](http://faculty.uml.edu/Hunter_Mack/)
 
+# GraphChem Documentation
+
 [![GitHub version](https://badge.fury.io/gh/ecrl%2FGraphChem.svg)](https://badge.fury.io/gh/ecrl%2FGraphChem)
 [![PyPI version](https://badge.fury.io/py/graphchem.svg)](https://badge.fury.io/py/graphchem)
 [![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg)](https://raw.githubusercontent.com/ecrl/GraphChem/master/LICENSE.txt)
@@ -35,6 +35,10 @@ $ python setup.py install
 
 If any errors occur when installing dependencies, namely with RDKit, PyTorch, or torch-geometric, visit their installation pages and follow the installation instructions: [RDKit](https://www.rdkit.org/docs/Install.html), [PyTorch](https://pytorch.org/get-started/locally/), [PyTorch Geometric](https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html)
 
+# Usage:
+
+For advanced usage, head over to our [API documentation page](https://graphchem.readthedocs.io/en/latest/).
+
 # Examples
 
 To view some examples of how GraphChem can be used, head over to our [examples](https://github.com/ecrl/graphchem/tree/master/examples) folder on GitHub.
@@ -45,4 +49,4 @@ To contribute to GraphChem, make a pull request. Contributions should include te
 
 To report problems with the software or feature requests, file an issue. When reporting problems, include information such as error messages, your OS/environment and Python version.
 
-For additional support/questions, contact Travis Kessler (Travis_Kessler@student.uml.edu).
+For additional support/questions, contact Travis Kessler (Travis_Kessler@student.uml.edu).