point tutorial links to master

README.md

@@ -22,7 +22,7 @@ Documentation of the code can be accessed here: https://mir-group.github.io/flar
 
 ### Tutorials
 
-[FLARE (ACE descriptors + sparse GP)](https://github.com/mir-group/flare/blob/notebooks/tutorials/sparse_gp_tutorial.ipynb)
+[FLARE (ACE descriptors + sparse GP)](https://github.com/mir-group/flare/blob/master/tutorials/sparse_gp_tutorial.ipynb)
 This tutorial shows how to run flare with a sparse Gaussian process model trained on energy and force data, demoing "offline" training on the MD17 dataset and "online" on-the-fly training of a simple aluminum force field.
 
 [FLARE (LAMMPS active learning)](https://bit.ly/flarelmpotf)

docs/source/tutorials/colabs.rst

@@ -3,7 +3,7 @@ FLARE: Active Learning Bayesian Force Fields
 
 We have a few tutorial notebooks that you can check out and play with.
 
-`FLARE (ACE descriptors + sparse GP) <https://github.com/mir-group/flare/blob/notebooks/tutorials/sparse_gp_tutorial.ipynb>`_.
+`FLARE (ACE descriptors + sparse GP) <https://github.com/mir-group/flare/blob/master/tutorials/sparse_gp_tutorial.ipynb>`_.
 This tutorial shows how to run flare with a sparse Gaussian process model trained on energy and force data, demoing "offline" training on the MD17 dataset and "online" on-the-fly training of a simple aluminum force field.
 
 `FLARE (ACE descriptors + sparse GP) with LAMMPS <https://colab.research.google.com/drive/1qgGlfu1BlXQgSrnolS4c4AYeZ-2TaX5Y>`_.