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RahulSundar

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A set of easy to follow instructions and some installation scripts for automated installation and setting up of various scientific computing environments and packages.

CS6910-DeepLearningFundamentals

This repository contains my assignment submissions including datasets, code, documentation and results.

Jupyter Notebook

Art-of-Code-A-pythonic-approach

This repository is a part of an online course taken by me for School kids to teach them the fundamental idea behind programming and computer science. This course was primarily taught using Python.

Python

DL-From-Scratch

As a learning exercise I reolved to build a simple Feed Forward Neural network from scratch.

Python

ANNS_ODES_PDES

Artificial Neural Networks are universal approximators and in this project, I aim to study the effectiveness of ANNs over traditional numerical methods to solve engineering problems. Specifically statics and dynamics of mechanical structures and non linear odes are looked into for applications. This work is based on the book by Prof Snehashish Chakraverty and Dr. Sumit Kumar Jeswal. I aim to validate their claims in the book "Applied Artificial Neural Network Methods for Engineers and Scientists" and also arrive at possible extensions to the methods discussed in the book.

Python

InnoGuideGPT

Python

ChatBotProject_BhoomiNestham2.0

Python

RahulSundar/Installations-Made-Easy

RahulSundar

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