Hello Bishwa, thanks for getting in touch; mlpack already supports some GAN types, see:
https://github.com/mlpack/mlpack/tree/master/src/mlpack/methods/ann/gan for more information. Also, the blog posts from Shikhar should be interesting: http://mlpack.org/gsocblog/ShikharJaiswalPage.html Anyway, the goal of the project is to implement a fast and well tests GAN, so my recommendation is to focus on one or two models. Writing meaningful tests takes a lot of time. I hope anything I said was helpful, let me know if I should clarify anything. Thanks, Marcus > On 28. Feb 2019, at 07:05, Bishwa Karkee <karkeebish...@gmail.com> wrote: > > This message is not encrypted but sent from a verified user on the dmail > blockchain <https://dmail.io/>Dear sir, > > I am Bishwa Karki, a 4th year Computer Engineering student from one of the > prestigious engineering college, Paschimanchal Campus, of Nepal. I have > practical experience in C/C++, Java and Python. > As of my major project I am implementing "Text to Image Synthesis" using > Generative Adversarial Network(GAN) and found similar project in the section > " Essential Deep Learning Module" of Mlpack. So I am keenly interested in > contributing mlpack in doing GAN project in this summer code 2019. > > For this I have already gone through paper listed in the GAN section under > "Essential Deep Learning Module" as it was also the same paper for my > project. But coming upto the description section in the ideas list it became > vague for me to understand, should we have to implement all the deep learning > modules listed in that section or can choose any of those, like GAN only? > > At the last, from mlpack.org > <http://www.mlpack.org/docs/mlpack-git/doxygen/cli_quickstart.html> I saw > mlpack library can be implemented with Python and as per the requirement of > GSoC should we have to implement it in C++ only or can choose Python ? > > Regards, > Bishwa Karki > > _______________________________________________ > mlpack mailing list > mlpack@lists.mlpack.org > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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