Discover @eelectronn Open Source projects

Harsh Patel (@eelectronn)

eelectronn

Stars
19
Global Rank 661,842 (Top 23 %)
Followers 3
Following 2
Registered almost 6 years ago
Most used languages

Python
37.5 %

Jupyter Notebook
12.5 %

Shell
12.5 %

Julia
12.5 %

TeX
12.5 %

JavaScript
12.5 %
Location 🇨🇦 Canada
Country Total Rank 15,239
Country Ranking

Julia
112

TeX
374

Shell
3,090

Jupyter Notebook
3,728

Python
6,182

poster

Poster design using LaTeX for presenting research work at 14th annual Dr. Randy Kobes Undergraduate Research Symposium at The University of Winnipeg.

configurations

Configurations of my system.

copy-cat-chrome-extension

Chrome extension for copying text

neural-network-hello-world

A basic implementation of neural network without using any deep learning library, primarily for MNIST dataset.

combinatoricsOnWords

my Summer 2020 research with Dr. Narad Rampersad on Combinatorics on Words.

Jupyter Notebook

neuralNets-Julia

This is implementation of a neural network using Julia for classification of MNIST dataset. It doesn't use any machine learning libraries. Primary purpose for this project is to learn neural networks basics and Julia language. Julia language is relatively new amongst other preferred language for data science.

symplecticCSP

Testing hypothesis about a group action on symplectic tableaux to find CSP.

conjugacyClass

Program takes an input of a partition p of some number n, and give all the distinct permutation of n such that when it's written in cycle notation, the length of cycles is some permutation p. The set of all such possible permutation is called conjugacy class.