This is an introduction to the theory behind normalizing flows and how to implement for a simple 1D case.


The code is available here:
https://github.com/TinyVolt/normalizi...


The content is largely taken from the excellent course "Deep Unsupervised Learning" by UCB. The original repo is here:


https://github.com/rll/deepul/tree/ma...


All I did was rewrite the code in a cleaner and (slightly) more efficient manner.