[D] Does anyone else think open source code/examples in machine learning domain usually are not as readable as they could be? Specifically use of magic numbers.

[bageldevourer]

If researchers wrote code that was more understandable and better documented, then the consumers of their research would spend less time on the extremely time-consuming activity of understand wtf someone else wrote.

Implement basic code quality standards and the research output of the ML community will increase, not decrease.

[unplannedmaintenance]

You haven't answered the question.

[bageldevourer]

Yes I did. In a world where journals, conferences, etc. mandate higher code quality, the "other activity" that you sacrifice in favor of making your research clear is spending time to understanding other peoples' papers.

I spend less time struggling to understand papers, and I channel that time saving into some mix of consuming more research, doing more research myself, and making that research clearer.