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[Discussion] Tips on getting started implementing ML papers in code? (alien.top)

submitted 11 months ago by ExitWest7@alien.top to c/machinelearning@academy.garden

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I've been diving a lot deeper into some interesting neural network papers recently and I'm looking to try and implement some of the models detailed in the papers. In general, I know that many papers include the code or I can just google the code to implement the model but I want to push myself to start implementing from scratch more.

Could anyone offer some tips on how they got started or gained the skills to be able to implement a model effectively within a few hours? Any advice would be much appreciated!

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[–] Ifkaluva@alien.top 1 points 11 months ago (1 children)

What do you do if you find a reference implementation? Just run it? Try to implement from scratch?

[–] DollyNorman@alien.top 1 points 11 months ago

I tried to copy as much as possible from the paper, then fill in the blanks with how I would have solved it. I only had a partial solution but I still learnt heaps more than just reading the paper.