Readme update

README.md

@@ -8,12 +8,21 @@ Multi-fidelity Generative Deep Learning Turbulent Flows [[FoDS]()][[ArXiv](https
 
 A novel multi-fidelity deep generative model is introduced for the surrogate modeling of high-fidelity turbulent flow fields given the solution of a computationally inexpensive but inaccurate low-fidelity solver.
 
-- Getting Started
-- Documentation 
-- Data Repository
+- [Getting Started](https://deep-turbulence.readthedocs.io/en/latest/start.html)
+- [Documentation](https://deep-turbulence.readthedocs.io/en/latest/index.html)
+- [Data Repository](https://doi.org/10.5281/zenodo.4298896)
+
+### Core Dependencies
+* Python 3.6.5
+* [PyTorch](https://pytorch.org/) 1.6.0
+* [Matplotlib](https://matplotlib.org/) 3.1.1
+* [SciPy](https://www.scipy.org/) 1.5.2
+* [Dataclasses](https://docs.python.org/3/library/dataclasses.html) 0.7.0
+
+See requirements.txt for full dependency list.
 
 ## Citation
-Cite us with:
+Find this useful or like this work? Cite us with:
 ```latex
  @article{geneva2020multi,
  title={Multi-fidelity Generative Deep Learning Turbulent Flows},

docs/source/conf.py

@@ -15,6 +15,7 @@
 import os
 import sys
 sys.path.insert(0, os.path.abspath('.'))
+sys.path.insert(0, os.path.abspath('../tmglow'))
 sys.path.insert(0, os.path.abspath('../../tmglow'))
 
 from sphinx.ext.autodoc import between