Re: GSoC 2019 || Student Introduction

[Arif Ahmed]

Hello,

I am curious about your research that you plan to present at NIPS and how exactly you used Cadabra in Deep Learning applications. Could you message me with more details ?

Regarding possible work for you in SymPy, yes the Probability module would be a good one to work one. You could start going through the work done till date.

On Thursday, February 7, 2019 at 4:16:00 PM UTC+5:30, K Yasaswi Sri Chandra Gandhi wrote:

Hi,

I am Gandhi, a sophomore at IIT Roorkee, India. I'm really interesting in contributing to SymPy for this year's Google Summer of Code. I went through this wiki page and I would like to get started right away with the development. Some relevant information about me is as follows:

• My main area of interest is in building deep neural networks and hence I have a strong grip over the Python language, Probability Theory and Statistics. I'm working on two research papers in Deep Learning to present at this years NIPS conference.
• Other than Probability Theory, my experience with Tensorflow has given me knowledge about Tensor Algebra. Apart from all this, I'm personally highly motivated towards learning pure mathematics and physics. I've taken Number Theory courses from MIT-OCW too.
• Regarding my familiarity with SymPy, I've used Sympy for my coursework in Geometric Algebra and for cross-checking during my Deep Learning research (Cadabra)
• I've checked out the projects and I could short-list Probability and Linear Algebra: Tensor Core.

I'd really like to hear back soon about my project choices and if I can take up others which are better aligned to my skill-set. Thanks for your time, really excited to learn new things and help make a difference.

Sincerely,

Gandhi