[mlpack] GSoC'21 Work Report

[Marcus Edel]

Hello Roshan,

Awsome report; it's really nice to see what was added over the summer;
looking forward to merge the remaining PR soon, so we can check that off
from the list as well. Thanks again for all the contributions.

Thanks,
Marcus

> On Aug 20, 2021, at 10:29 AM, Roshan Swain <swainroshan001 at gmail.com> wrote:
> 
> Hi, 
> I created a work summary for GSoC'21. There were a lot of blockers like long training time, jupyter kernel crashes(always behaves strangely), and other personal challenges, but still somehow made it till now. I have compiled my final works below:
> 
> 1. Implementation of Linear Regression for California Housing:
>  This includes CPP and Python Notebooks with cool visualizations and evaluation metrics.
> 
> 2. Implementation of Generative Adversarial Networks for MNIST:
> This covers usage of GAN class with documentation and comments on Generator and Discriminator Architecture. This is a major headache coz it is taking a lot of time to train and thus very time consuming to optimize.
> 
> 3. Implementation of GAN for Anime Faces Generation: 
> The idea was to showcase usage of GAN for creation of detailed anime faces(RGB) but considering the training time, we altered it a bit. We are gonna translate Pytorch model weights and convert them into mlpack weights. This is in progress and hopefully should be completed by this week. 
> 
> Link to GSoC work report: 
> https://github.com/swaingotnochill/gsoc-work-report <https://github.com/swaingotnochill/gsoc-work-report>
> [ I will be making updates to the report too accordingly].
> 
> On a final note, I am very grateful to the mlpack community, especially Ryan and Marcus for helping me get started with mlpack initially and my mentors Marcus and Kartik, they always helped me whenever I was in a pinch(I loved the zoom meetings :D). Also, thanks to David for helping out a lot in this time period. Throughout this period, I enjoyed contributing to mlpack and will continue to do so.
> Thank You.
> 
> Regards,
> Roshan Swain

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