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 [email protected] https://github.com/heisenbuug
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