check out Stanford Scholar[1], they create talks on hot research papers(not only ML/AI) and then try to explain the papers the intuition and technicalities of the paper, most of the talks are translated to other languages as well

[1]: https://scholar.stanford.edu

You'd probably need to spend a few years learning the basics first...

Agreed.

Sometimes imitation is the best way to learn. So if there are some great resources for source codes being derived from papers, it will help people how to read papers and create code out of it.

I mean, you probably need to look at a few textbooks before you'll make any sense of papers.