Submitted by bigbossStrife t3_z2a0xg in MachineLearning
ThomasBudd93 t1_ixgzy0h wrote
I've build my entire library in pytorch and was amazing. I don't regret it at all. If you have a long term project or want to learn more about coding and DL implementations, it is a good choice I think.
For the context: I knew the project that I was doing for the next few years in my PhD. I looked at the current SOTA implementations and didn't like certain aspects/saw a lot of work coming ahead if I was going to pursue with it. I read the code a lot and spend a single day just thinking about my design before writing a line of code myself. I learnt a lot in this time. If you do that you will get the chance to learn and think about all the little technical details hidden in current frameworks.
After having finished this, I was able to adapt my code quickly to new ideas I wanted to try. Also switching from messy iPython notebooks to my library made my work more reproducible.
This was my experience, but it will differ from case to case. I would say if you have a long term project, start you career and have the time, definetly do it! You will learn a lot and have a code basis you understand heads to toes and you can rely on. Otherwise I would reconsider this.
Hope that helps!
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