Sure ! It has not opened yet. It will open at 18:00 (UTC) today. On Mon, Mar 29, 2021 at 6:41 PM Marcus Edel <[email protected]> wrote:
> 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]> 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: >> >> >> 1. The class has been implemented with an older mlpack version. A lot >> of refactoring of the ANN code has been done since then. >> 1. Implement ResetData() function. >> 2. Remove boost variant.. >> 3. Implement Dual Optimizer train function. >> 4. Testing. >> >> >> >> Style GAN consists of the following components: >> >> >> 1. Noise Mapping Network and Progressive Growing Generator. >> 2. Adaptive Instance Normalization. >> 3. 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: >> >> >> 1. Before GSoC: >> 1. Finish Dual Optimizer. >> 2. May 17 - June 7 : Community Bonding Period >> 1. Get more familiar with StyleGAN and CycleGAN. >> 2. Look at the official implementation in pytorch and tensorflow. >> 3. June 7 : Coding Period: >> 1. Week 1 - 2 >> 1. I’m thinking of spending the first two weeks on finishing >> CycleGAN PR. >> 2. Week 3-4: >> 1. Implement Instance Normalization. >> 2. Write tests.. >> 3. Week 5-8: >> 1. Implement Generator and Discriminator Network. >> 2. Write tests. >> 4. Week 8- 10: >> 1. 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]> >> 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]> 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: >>> >>> 1. Dual Optimizer for GANs >>> <https://github.com/mlpack/mlpack/pull/1888> >>> 2. Label smoothing in GANs >>> <https://github.com/mlpack/mlpack/pull/1915> >>> 3. Frechet Inception Distance >>> <https://github.com/mlpack/mlpack/pull/1939> >>> 4. 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] >>> http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack >>> >>> >>> >
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