Neural style transfer is a collection of techniques that come out of deep learning that allow the style of one image to be transferred to the content of another. The method was first introduced by Gatys et al. in 2016.
The code in this repository relies on several packages.
They are all listed in the Pipfile and can be easily installed from there
with pipenv.