niranjana1997 Goto Github PK
Name: Niranjana Sathish Avilery
Type: User
Company: Rochester Institute of Technology
Bio: Data Science @ Rochester Institute of Technology
Location: Rochester, New York
Name: Niranjana Sathish Avilery
Type: User
Company: Rochester Institute of Technology
Bio: Data Science @ Rochester Institute of Technology
Location: Rochester, New York
Images consist of visual components such as color, shape, and texture. These components stand as the primary basis with which images are distinguished. A content-based image retrieval system extracts these primary features of an image and checks the similarity of the extracted features with those of the image given by the user. A group of images similar to the query image fed is obtained as a result. This paper proposes a new methodology for image retrieval using the local descriptors of an image in combination with one another. HSV histogram, Color moments, Color auto correlogram, Histogram of Oriented Gradients, and Wavelet transform are used to form the feature descriptor. In this work, it is found that a combination of all these features produces promising results that supersede previous research. Supervised learning algorithm, SVM is used for classification of the images. Wang dataset is used to evaluate the proposed system.
An AI powered Queston & Answer web app created using Tensorflow.JS BERT
👥 A better directory of Yale personnel, with a clean API to match. Used by 70% of students.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Data Analysis and insights on VAST 2019 MC1 Dataset - Crowdsourcing for Situational Awareness
This repository contains the assignments done for the course ISTE782 Visual Analytics
A repository to practice leetcode problems
This repository contains Python backend files for a library website built using Flask, SQLite, REST API and Data Structures.
This repo contains Lyft's Rental Fleet Maintenance System code. It determines if rental cars require servicing at return to maintain good condition, minimize breakdowns, costs and offer a better customer experience.
This repository contains a movie recommendation system built using content and collaborative based models.
This project aims to compare the performance of different text classification machine learning models by implementing different text classification algorithms on a different datasets.
This project is about implementing the reinforcement learning algorithm Deep Q-Learning on the Nokia's Snake Game to predict the actions. It makes use of the Python's Pygame and Pytorch libraries.
E-Commerce Frontend Application built using ReactJS
DSCI-633: Foundations of Data Science & Analytics
A simple project that scrapes data from the IMDB website using Python's Beautiful Soup library to suggest random movies from the 'Top 250 List' to the user..
A basic Stock Prediction Program written in Python Using Machine Learning Algorithms
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
This repository contains code for a text classification project using Twitter and news datasets, where several classification models were evaluated and compared based on their performance metrics.
This project makes use of Python's Tensorflow library to classify whether a wine is of good or bad quality
Zulip server and web app—powerful open source team chat
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.