AmitMandliya/multiple-sequence-alignment
Applying nature inspired ant colony optimization algorithm to solve the multiple sequence alignment problem in Julia language.
Software Developer from North Carolina, US. Currently interning at Red Hat. Worked at Accenture and Infosys, India. Experience in Java, Python, Julia, R.
Applying nature inspired ant colony optimization algorithm to solve the multiple sequence alignment problem in Julia language.
Instavote - Example Voting App created by Docker Inc.
Yet another Facebook clone written in C
Sample Angular application used in the "Angular: Getting Started" course: http://bit.ly/Angular-GettingStarted
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
A sample Spring-based application
An action for seeing how contributable a repository is.
Julia Package for approximating the solution for Multiple Sequence Alignment Project using Ant Colony Optimizaton
A console based Peer to Peer (P2P) file sharing system with a centralized index (CI). Peers can join the system and share files (RFC text files) directly with each other. The centralized server is responsible for keeping a track what files each Peer and files it has.
Particle Swarm Optimization implementation for Multiple Sequence Alignment
Solves the TSP using ACO - Language: Python
An assistant which will take the project requirements, team members availability, skill level, tools preferred, etc. as input and assigns the members for the new team.
Implement the Go-back-N automatic repeat request (ARQ) scheme and carry out a number of experiments to evaluate its performance
Library Management System - LazyCoders
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
My GitHub Profile README. Don't just fork, star it, so others can find it too! 👀
This repository contains an application: TouchDown - An American Football Analytics Application which provides pictorial analysis of football matches by performing data manipulation and analytics over football matches data.
Homework 1 for Fall 2020 CSC510 Software Engineering Group Z22
A small application practicing the springboot core features
The Candlepin entitlement engine
Online data are being produced in increasing amounts due to extensive use of Internet, IoT devices and generating previously physical data in digital form. These data are stored in diverse formats. Practitioners and researchers can be benefited significantly if these massive heterogeneous data could be integrated and made accessible. But often data can reveal user identity and sensitive information that can lead to loss of privacy which in turn leads to loss of trust, reputation and user base of a company/government. In this paper, we have provided a state of the art review of the privacy threats by studying the recent data breaches. According to our study, loss of user privacy leads to great loss of reputation and monetary value of any institution We have tried to understand the perspective from the victim’s point of view for the incidents. We have provided few measures in relation to the incidents through which it can be avoided in future.
Utilizing the Open Movie Database API and Netflix Data for predicting rating of a movie.
WolfPubDB
Reference implementation of Documentum REST Java client
AI Agent that learns how to play Snake with Deep Q-Learning