Viewing a single comment thread. View all comments

dmart89 t1_iy6k204 wrote

No need to reinvent the wheel. Code is a tool to get to an outcome. if you can do it with packages, great.

54

[deleted] OP t1_iy6l377 wrote

Is that publish worthy tho? If I said I just used a package?

3

underdog_scientist t1_iy6shuf wrote

Every paper is based on previous work. A paper is worthy of publishing when the new knowledge it presents is a significant contribution. If you can produce new knowledge faster by using existing code, why not do it?

38

Ok_Dependent1131 t1_iy6sarz wrote

Is the code the true deliverable or is the idea? If it’s the idea, the implementation of isn’t so important

4

IWantAGrapeInMyMouth t1_iy7nq8q wrote

OpenAI produces SOTA models somewhat regularly in a multitude of domains and they’ve been using PyTorch since 2020. One of the best reasons to use libraries is the sheer amount of people who work on those libraries. You get all efficiency improvements, quality of life implementations, etc…

3

Zealousideal_Low1287 t1_iy7v0ly wrote

The merit in a paper isn’t in how hard it was or how long it took. It’s the novelty / value of the contribution.

3

jms4607 t1_iy7doah wrote

For an applied paper yeah, you still gotta set it up in the right way.

1

davidswelt t1_iy83bei wrote

I would be concerned to read you coded many sub-tasks from scratch because without scrutiny, how would I trust that your method is implemented correctly? No statistical analysis in a paper ever is done from scratch... for good reasons...

1