Hello Shah, can you submit the draft using the GSoC dashboard, it should be open today. That way, it's easier for us to track who asked for feedback.
Thanks, Marcus > On 29. Mar 2021, at 08:54, CED18I048 SHAH ANWAAR KHALID > <[email protected]> wrote: > > Hello everyone ! > > I'm done with the first draft of my proposal: > GSoC proposal > <https://docs.google.com/document/d/1QggpvhMRIaeqLYyEe_VkwidxmkKue-TSavk3NO8w_Bk/edit?usp=sharing> > > Please let me know if there's something I should clarify or explain in a > greater detail. > > Regards > Shah Anwaar Khalid > > On Tue, Mar 16, 2021 at 5:59 AM CED18I048 SHAH ANWAAR KHALID > <[email protected] <mailto:[email protected]>> wrote: > Hello Marcus, > > Thanks for the suggestion. Sorry for the late response, I was a little caught > up with my college exams. > > I’ve already started working on the Dual Optimizer PR and hope to finish it > before GSoC. I got it to work for Standard GAN and DCGAN. I’ve opened a PR. > For the summer, I’d like to take up CycleGAN PR and implement StyleGAN. > > I went through the PR for CycleGANs and as per my understanding, I have made > the following TODO’s list: > The class has been implemented with an older mlpack version. A lot of > refactoring of the ANN code has been done since then. > Implement ResetData() function. > Remove boost variant.. > Implement Dual Optimizer train function. > Testing. > > > Style GAN consists of the following components: > Noise Mapping Network and Progressive Growing Generator. > Adaptive Instance Normalization. > Discriminator Network. > > I'll write a detailed explanation of each component in the proposal. Please > let me know what implementation details I should include. > > Tentative Timeline: > > Before GSoC: > Finish Dual Optimizer. > May 17 - June 7 : Community Bonding Period > Get more familiar with StyleGAN and CycleGAN. > Look at the official implementation in pytorch and tensorflow. > June 7 : Coding Period: > Week 1 - 2 > I’m thinking of spending the first two weeks on finishing CycleGAN PR. > Week 3-4: > Implement Instance Normalization. > Write tests.. > Week 5-8: > Implement Generator and Discriminator Network. > Write tests. > Week 8- 10: > I’m thinking of keeping this as a buffer to finish any pending work. > > Please let me know your thoughts on this. > > Thanks, > Anwaar > > > > > > On Thu, Mar 11, 2021 at 10:13 PM Marcus Edel <[email protected] > <mailto:[email protected]>> wrote: > Hello Shah, > > happy to provide feedback; everything you proposed in the mail sounds great > to me. > My recommendation would be to focus on two tasks for the summer, that could be > StyleGAN and Cycle GANs, or Dual Optimizer and StyleGAN, I guess you know what > I mean. > > > The program this year is going to be shorter, so we should make sure we don't > end > up with a lot of unfinished projects because we run out of time. That said, > keep in mind > testing and documentation need time as well, often more time than the actual > implementation. > > Thanks, > Marcus > > >> On 10. Mar 2021, at 19:37, CED18I048 SHAH ANWAAR KHALID >> <[email protected] <mailto:[email protected]>> wrote: >> >> Hello mentors! >> >> I’m Shah Anwaar Khalid, currently a 3rd year student at IIITDM, Chennai, >> India. I’ve been working with mlpack for quite some time, and have been >> familiarizing myself with the ANN codebase. >> I wish to spend this summer working with mlpack under GSoC ‘21. I’m >> particularly interested in working on improving the GAN class of mlpack and >> I hope to get some suggestions on improving my proposal through this thread. >> I apologize, in advance, in case this email gets too long. >> >> After exploring the GAN class for quite some time now, i’ve realized that >> there are still a lot of open pull requests on GANs that have some pending >> work. Furthermore, a lot of state of the art GAN models have not yet been >> implemented. So, in my project I want to finish the pending work in the open >> pull requests and extend the functionality of GAN class by implementing some >> of new models that have come up in the last couple of years. >> >> I’m interested in the following pull requests: >> Dual Optimizer for GANs <https://github.com/mlpack/mlpack/pull/1888> >> Label smoothing in GANs <https://github.com/mlpack/mlpack/pull/1915> >> Frechet Inception Distance <https://github.com/mlpack/mlpack/pull/1939> >> Cycle GANs <https://github.com/mlpack/mlpack/pull/1497> >> I’m also interested in adding the following GAN models: >> 2. Pix2Pix >> 3. StyleGAN >> >> >> I’ve started working on dual optimizer PR and hope to finish it before GSoC. >> I’ll write a more detailed mail describing the components of Pix2Pix and >> StyleGAN once I get some feedback on this. >> >> Thanks and Regards >> Shah Anwaar Khalid >> GitHub: hello-fri-end >> >> _______________________________________________ >> mlpack mailing list >> [email protected] <mailto:[email protected]> >> http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack >> <http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack> >
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