QANet - Any tips on implementing models from Research Papers?

So I’d like to get better at understanding model design and implementation. I was wondering if anyone had tips on reading research papers and figuring out how to implement the models in them.

For example I’d like to dive into understanding the QANet ( model for machine comprehension.

In this case, there’s a nice write-up provided Min Sang Kim ( that implements it in Tensorflow. I was planning on seeing if I can replicate the approach in Pytorch.

But in cases where there isn’t a tutorial or example code, any tips would be super helpful!

seems like it is implemented in pytorch .