Colab tutorials (#367)

* Colab Button & Run added

tutorials/tutorial13/tutorial.ipynb

@@ -5,6 +5,9 @@
    "metadata": {},
    "source": [
     "# Tutorial: Multiscale PDE learning with Fourier Feature Network\n",
+    "\n",
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mathLab/PINA/blob/master/tutorials/tutorial13/tutorial.ipynb)\n",
+    "\n",
     "This tutorial presents how to solve with Physics-Informed Neural Networks (PINNs)\n",
     "a PDE characterized by multiscale behaviour, as\n",
     "presented in [*On the eigenvector bias of Fourier feature networks: From regression to solving\n",
@@ -20,6 +23,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "## routine needed to run the notebook on Google Colab\n",
+    "try:\n",
+    "  import google.colab\n",
+    "  IN_COLAB = True\n",
+    "except:\n",
+    "  IN_COLAB = False\n",
+    "if IN_COLAB:\n",
+    "  !pip install \"pina-mathlab\"\n",
+    "\n",
     "import torch\n",
     "\n",
     "from pina import Condition, Plotter, Trainer, Plotter\n",

tutorials/tutorial13/tutorial.py

@@ -2,6 +2,9 @@
 # coding: utf-8
 
 # # Tutorial: Multiscale PDE learning with Fourier Feature Network
+# 
+# [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mathLab/PINA/blob/master/tutorials/tutorial13/tutorial.ipynb)
+# 
 # This tutorial presents how to solve with Physics-Informed Neural Networks (PINNs)
 # a PDE characterized by multiscale behaviour, as
 # presented in [*On the eigenvector bias of Fourier feature networks: From regression to solving
@@ -13,6 +16,15 @@
 # In[1]:
 
 
+## routine needed to run the notebook on Google Colab
+try:
+  import google.colab
+  IN_COLAB = True
+except:
+  IN_COLAB = False
+if IN_COLAB:
+  get_ipython().system('pip install "pina-mathlab"')
+
 import torch
 
 from pina import Condition, Plotter, Trainer, Plotter