avinash4720 Goto Github PK

analysis-of-dsqr-vs-gpsr-protocol-in-vehicular-ad-hoc-networks

Distance and signal quality aware routing protocol(DSQR) is a Vehicular ad-hoc network protocol. It’s predecessor GPSR protocol is used in Vanets for data transmission. Developed this protocol as my third year "Computer Networks" semester project using Matlab. It is a modified geographical routing protocol using mid area node selection and signal quality to select the next hop forwarder.

analyzing-nyc-subway-turnstile-data-big-data

This repository contains the codebase for the CS-GY 6513 Big Data project.

assignment

cafe-management-saas-application

Foody Blinders" is a Cafe Management website developed using Ruby on Rails platform. This is a web application and a Software as a Service (SAAS) delivery model. In this application, you can signup, order food, manage the application signed in as owner, track orders placed by customers and much more..

cafe_management_saas_project

dl-mini-project

dns-server

ece-gy-6953-discriminating-deepfake-detection

exercise-tracker

hbst-a-new-hash-based-spacio-temporal-apriori-algorithm-for-frequent-pattern-mining

Implementation of IEEE paper on Data Mining

helm

A helm chart for deploying nextcloud on Kubernetes

level-4

matrix-helm

A Helm Chart for matrix.org (Synapse and Element Web)

ml-for-cybersecurity--analysis-and-evaluation-of-backdoor-detection-in-cybersecurity-models---badnet

pruning-evaluation-of-resnet-18-34-and-50-using-pytorch-and-tensorflow

The Goal of the project is to determine, which Framework will yield good results on inference models with smaller size. We Perform pruning to extract the inference model with smallest size using frameworks Pytorch, Tensorflow, Caffe

reddit-nba-etl-analytics

This project provides a comprehensive data pipeline solution to extract, transform, and load (ETL) Reddit data into snowflake warehouse. The pipeline leverages a combination of tools and services including Apache Airflow, Amazon S3, EC2, Snowflake DB and Snowsight

sentiment-analysis-of-coronavirus-tweets

Sentiment analysis is a natural language processing technique used to determine whether data is positive, negative or neutral. The motto behind this project is to perform sentiment analysis with the help of LSTM model on twitter data sets containing tweets from Covid-19 lockdown.

todo

todo-app

Simple todo app using Ruby on Rails.

todo-html

todo_manager_l5

todoapp

todos

users