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Abhinav Gupta's Projects

abhinavgupta16.github.io icon abhinavgupta16.github.io

Personal Website hosted is a developed UI, utilizing HTML, CSS, and Bootstrap along with other Technologies.

ansible-playbook icon ansible-playbook

🤖 A community repository for Ansible Playbook of OpenSearch Project.

common-utils icon common-utils

Offers a library of utilities for building Java-based OpenSearch plugins

filtersforlidar icon filtersforlidar

The module implements the LIDAR noise filters - Range and Temporal Filter in Python

gitignore icon gitignore

A collection of useful .gitignore templates

lab-agile-zenhub icon lab-agile-zenhub

This is the repository for the ZenHub training lab on Agile Development and Planning

lab-bluemix-cf icon lab-bluemix-cf

This repo demonstrates how deploy a simple Python Flask RESTful service using Bluemix Cloud Foundry

lab-travis-ci icon lab-travis-ci

This lab demonstrates how to use Travis CI with Redis for Continuous Integration

mac-bash-theme icon mac-bash-theme

A Mac Terminal theme that resembles the Git for Windows default theme.

opensearch icon opensearch

🔎 Open source distributed and RESTful search engine.

os-scheduler-simulation icon os-scheduler-simulation

A comprehensive OS - scheduler simulation demonstrating implementations of various scheduling algorithms mimicking an OS. The algorithm to be used can be passed as a parameter, to see a comprehensive analysis for comparision.

rivercrossinggame icon rivercrossinggame

You must get all the people across the river in this game respecting the following rules: 1. The raft can carry no more than 2 people. 2. Only the Adults (mom, dad, policeman) can operate the raft. 3. Dad can not be in the presence of the girls w/out Mom 4. Mom can not be in the presence of the boys w/out Dad 5. The thief can not be alone with any of the family w/out the policeman.

traffic-sign-detection icon traffic-sign-detection

Traffic Image Classification using Supervised Learning. This was a part of a Kaggle competition. Finished in top 10 in the class of 105 students, with an accuracy of 0.99730 on the unknown test data.

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