Sorry I’m posting this here I’m not sure which section to post in. I have been taking the FastAI course. And if anyone else has taken this course they know that they use their own python library called fastai that is a wrapper for PyTorch functions. This is effective for having time to explain theory, but I am wondering how these same methods would be implemented directly from PyTorch. Has anyone seen any blog posts or anything where someone has rewritten some fastai lessons in base PyTorch commands? I found one here: https://medium.com/@tomgrek/wtf-is-going-on-with-fast-ai-db59741b5da2 but that is all I could find - it converts lesson 6 in FastAI Part I. Thanks!
Here’s the GitHub: https://github.com/fastai/fastai/tree/master/docs