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Ishan Bhatt's Projects

alpha-wordle icon alpha-wordle

Taking the fun out of WORDLE! We use AI to solve wordle!

asciify icon asciify

This repository has code accompanying a blog-post that shows how any image can be ASCIIfied!

autodoc-gpt icon autodoc-gpt

This tool wraps all the python/C code in a repo and uses openAI api to generate README for the repo

awesome-python-template icon awesome-python-template

This repository is a base repository for python projects; we handle unit testing (with hooks), a template README and a .gitignore

dss-in-c- icon dss-in-c-

This repository is intended to serve as a resource for error-free implementations of all data structures

galaxyclassification icon galaxyclassification

SDSS telescopes have captured over 40 TB worth of galaxy images and classification of these images is the first step towards obtaining a deeper understanding of physical processes within them, star formation, and the nature of the universe. Since we could not find an easily accessible dataset for galaxy classification, we compiled a dataset for Galaxy classification and provided benchmarks with some of the common learning algorithms that would help in automating the galaxy classification which until recently had to be performed by hand by expert astronomers. We classify the images of galaxies into four classes: spiral, elliptical, irregular, and invalid.

program2-ndijkstra-vs-floydwarshall icon program2-ndijkstra-vs-floydwarshall

In this project, we aim to compare the performance of two popular algorithms for solving the all-pairs shortest path problem: N iterations of the Dijkstra’s algorithm (1 iteration per node); Floyd-Warshall Algorithm. We implement both these algorithms in C++ and analyze their performance on different graph structures using the values for runtime and number of comparisons. We make some hypotheses related to the performance of these algorithms and try to validate or invalidate them by designing experiments to test them. We explain how we executed the experiments and report our findings in this paper.

se-hw2 icon se-hw2

To store my work for Software Engineering Homework 2

se-hw3 icon se-hw3

repository to store my files for SE hw3

se21 icon se21

Files for an SE graduate class

simplii icon simplii

this repository is our team's work for september

terrainrecognition-competition icon terrainrecognition-competition

Project made as part of ECE542: Deep Learning & Neural Networks; TerrainRecognition. This work finished first on the leaderboard with F1-score of 0.935 on the private-test set.

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