arvind2903 Goto Github PK
Name: Arvind Raghavendran
Type: User
Name: Arvind Raghavendran
Type: User
Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents
Repository containing Assignments of Applied ML course (CMI Jan-May 2024)
Develop a classifier to differentiate between real and AI-generated images of damaged cars, identifying actual accidents from fraudulent ones.
Utilize a MobileNetV2 encoder and Pix2Pix decoder to perform precise semantic segmentation, distinguishing objects in images, such as identifying flooded areas in flood images. The purpose is to enable accurate object delineation for applications like disaster response and environmental monitoring.
Created a ticket booking system with a Vue.js frontend and Python backend to manage theaters, shows, and bookings. Implemented email notifications and utilized Celery and Redis for background tasks.
Analyzing Holla's Fresh, a store in an apartment complex, this project assesses COVID-19's impact, proposes recovery strategies, and offers insights to enhance inventory management and sales.
We explore pool testing strategies for SARSA COVID-19 and allow us to build testing scenarios that allows us to use m tests to diagnose n patients; m<n
This project involves the development of a quantified self app for tracking various personal metrics and visualizing the data. The purpose is to enable users to create, update, and log trackers for different activities, and visualize their progress through graphical representations.
We learn the basics of quantile regression and how to implement it in R
Employ deep learning and transfer learning techniques to classify images as "fake" or "real," ensuring authenticity preservation.
This project focuses on classifying samples as positive or negative based on color analysis using OpenCV. The purpose is to automate the classification process of biosamples treated with a dye, determining their status based on color intensity.
This project involves developing a lightweight blog application, BlogLite, which includes user authentication, post creation, and social features. The purpose is to provide a simple, yet fully functional platform for users to share posts, follow others, and manage their profiles.
Developed machine learning models to classify students into dropout, enrolled, and graduate categories based on anonymized demographic and academic data, aiming to enhance student monitoring and support systems in higher education institutions.
The project provides a comprehensive visualization and analysis of the World Happiness Report data from 2015 to 2019. Through various visualizations, it explores the key factors influencing global happiness and highlights trends over time.
This project showcases various Python scripts for web scraping and data transformation, enabling extraction and cleaning of data from websites and manipulation using Excel and Pandas. The aim is to facilitate effective data collection and transformation for analytical purposes.
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.