[mlpack] GS0C 2020

[Gopi Manohar Tatiraju]

Hey,
Regarding adding more models in Mlpack, you are already familiar with my
basic idea. I have already started working on it and by now I have a good
idea about the functionality and architecture of Mlpack library.

https://github.com/mlpack/models/issues/54

Regarding the proposal are there any specific models you have in mind? I am
thinking about models on Image Segmentation and Detection.

Atleast two models which can be implemented directly without adding any new
layer in Mlpack and remaining by adding new layers throughout the library
so that they can be used for future implementations as well increasing the
functionality of the library. This will also asure that we will be
implementing atleast 2 models as creating the architecture only using
Mlpack's already implemented functionality will be a bit easier than to
implement models and layers.

Also I think we need a separate module to visualize these algorithms, we
can do that using OpenCV. This will be very helpful as image processing is
only as useful if we can visualize it.

What are your views?

Project:
https://github.com/mlpack/mlpack/wiki/SummerOfCodeIdeas#application-of-ann-algorithms-implemented-in-mlpack
Mentors: Marcus Edel, Sumedh Ghaisas, Shikhar Jaiswal
Reagrds

Gopi M Tatiraju
deathcoderx at gmail.com
https://github.com/heisenbuug
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