Re: GSOC 2020 Idea Discussion

[Benson Muite]

Hi Athrava,

There is a Matlab (https://github.com/apache/incubator-mxnet/tree/master/matlab) integration for Mxnet (https://mxnet.incubator.apache.org), perhaps an Octave integration can be made for Mxnet. MLpack (https://mlpack.org/doc/mlpack-3.2.2/doxygen/bindings.html ) and Dlib (http://dlib.net ) might also be worth looking into .

Benson

On Sun, Feb 23, 2020, at 12:49 PM, Atharva Dubey wrote:

Hello All,

I am Atharva Dubey, currently in my 3rd year of engineering from BITS PILANI PILANI

I have been an avid user of octave for the past 2 years mainly for image processing, pattern recognition, and signal processing. I ventured into the field of machine and deep learning and quickly grasped it with python and sometimes with c++ with all my robotics projects. I recently had to use Matlab for deep learning research and it really hurt octave not having any DL/ML any offial package. 

I propose to develop a  Deep Learning package using a c++ backend for octave with cuda support for accelerated computing. The API operating on the user part will be user quite easy to use, using array like declarations build layers of the model just like matlab. 

I wanted feedback and wanted to discuss about this project for GSoC 2020

 Thanks and Regards