In deep learning, it is critical to have bug-free and modularized code implementations which is re-usable. To make re-usability easy, it is convenient to keep all useful code snippets at one place. For this purpose, Jupyter notebooks are a nice option.
In this code repository, I have jotted down code snippets that I found relevant during my coding exercises in PyTorch for deep learning.