Update intro with exact links.

Author: jejjohnson

jupyterbook/intro.md

@@ -7,8 +7,8 @@ This package implements the Rotation-Based Iterative Gaussianization (RBIG) algo
 
 **Demo Colab Notebooks**
 
-* Iterative Gaussianization - [![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/IPL-UV/rbig_jax/blob/master/notebooks/iterative/1.0_simple_rbig.ipynb)
-* Parametric Gaussianization - [![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/IPL-UV/rbig_jax/blob/master/notebooks/parametric/1.0_Demo_GaussFlows.ipynb)
+* Iterative Gaussianization - [![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/IPL-UV/rbig_jax/blob/master/jupyterbook/content/iterative/demos/rbig_demo_plane.ipynb)
+* Parametric Gaussianization - [![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/IPL-UV/rbig_jax/blob/master/jupyterbook/content/parametric/demos/gf_demo_plane.ipynb)
 
 
 <details>
@@ -27,10 +27,6 @@ This package implements the Rotation-Based Iterative Gaussianization (RBIG) algo
 
   </details>
 
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-## Information Theory Metrics Demo
-
-**TODO**
 
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 ### Why Jax?