Update README.rst

[jindongwang]

Nice work! I think when it comes to domain adaptation and transfer learning, you can't miss my repo: transferlearning.xyz.

Plus, my repo also contains some implementations that I would love to integrate to your repo. Can we do it together?

[stes]

Thanks for adding your list and codebase! I will also have a look at your code and think of ways of best integrating it. Could you name some algorithms you think should also be added to salad ? Ideally, open an issue for that :)

[jindongwang]

Good!
I think some popular unsupervised DA methods can also be added to salad. I can name a few: DaNN, DANN, DAN, JAN, SLN, etc. Too many of them. You can refer to the code directory in my repo.

[stes]

Hi @jindongwang , fully agree that these approaches should be added. DANN is implemented, have a look at the salad.solver.da.DANNSolver. The implementation does not follow directly Ganin et al 2016, as it does not make use of the Gradient Reversal layer. However the layer itself is part of salad, so it is easy to use this method. Actually, VADA is an extension to DANN, so DANN is actually a part of the VADASolver ;-)

But I will have a look at your code and see how I can best integrate these methods! The goal is to keep extending salad until everything people refer to in papers is implemented :)