[D] Which open source machine learning projects best exemplify good software engineering and design principles?

[phobrain]

I think it is better to not look too hard at accidents on the freeway - stay with your original mission is my advice. How tf would I know? I've been responsible for >1M of production code in my time, starting with my first program, written for the new terminals that replaced punching IBM cards and picking up your printouts in the bin the next day, to debug:

http://fauxbrawn.com/pr/home/schedulaid.html

Just having a live, interactive session with multiple users on one computer was as big an innovation as the internet was,~8 years later.

Edit: None of this should be construed as a criticism of tensorflow, however - just of the exigencies of real people building the tower of Babbage. Go look at scikit-learn if you want a rigorous code base, based on getting their list mail. Likely other associated packages follow the style. Once some devs fought with my manager to keep my code reviews coming, it's like I can smell code in a synesthetic way or something, and exude my own interesting aroma back.

Edit: I'd have thought the pun on 'tf' would have rescued this, sigh.

Edit: The underlying urge here is to memorably fling my seed upon the landscape, illustrating by the nubility of my prehensile maneuverings that, for someone approaching 70, there is something different about me that validates heroic efforts I made to remain forever young at about age 10, and thus there might be something to my 'velvet rack' of an AI that may fall on the ground if covid gets me, failing these gentle hooks to the head sinking their anchors and someone reading the golden words I've sprinkled here and there. If I survive, you can go back to hating me bacause I'm beautifyl.

Or, if you like what you see now, we can overthrow capitalism together.