Vinayaka Vivekananda Malgi's Projects
Welcome to my GitHub repository. I hope you enjoy solving these puzzles as much as I have enjoyed creating them.
In this end to end project, we try to determine if the person has contracted COVID-19 disease by Machine Learning.The Deep Learning model predicts if a person has COVID-19 by taking in the Chest X-ray image as an input.The project has been hosted on heroku platform
The Deakin Simpsons challenge 2022 is a computer vision competition that is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.
This repository contains my final submission for Deakin Simpsons Challenge - 2021.
This repository contains my ipynb notebook for implementing Deep Convolution Generative adversarial networks.We used MNIST images to train the DCGAN
In this repository, we build a DVC pipeline for a simple machine learning algorithm. The pipeline would load the data from a repository, split, train, and evaluate the data
This repository is about implementing a sample Data version Control pipelines, which is a commonly used pipeline for Machine Learning tasks
A toolkit for analysis, synthesis, and digitization of electrocardiogram images
Evaluation code for the PhysioNet Challenge 2024
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
This repository is a small POC for implementing a DVC pipeline on the classification of Fashion MNIST data sets using CNN's. Also, implemented is the CI-CD pipeline through GitHub actions which runs the whole DVC pipeline in the background when any changes are pushed to the repository.
In this end to end project, we try to predict the chances of a person getting heart attack using Machine Learning by taking into consideration of various factors such as age, sex, type of chest pain, maximum heart rate achieved, major number of arteries.Also included is the EDA and the Power BI visualisation files
A guide to contributing to open source
Public repo for DeepLearning.AI MLEP Specialization
Personal CV/Resume written in Org-mode with the LaTeX AltaCV template.
Basic Implementation of a perceptron neuron
physionet-challenge-solution-Melbourne_Kangas
a collaborative knowledge-exchange platform in Rails; we welcome first-time contributors! :balloon:
Python example fork for the PhysioNet Challenge 2024
In this repository, we have built a chatbot that can answer questions related to Mucormycosis infection also colloquially called as Black Fungus infection.Mucormycosis is a deadly infection affecting the patients who have recovered from COVID-19 and currently very few people have knowledge about this deadly disease. The technology behind the chat is open source RASA X which internally uses Spacy library to process the Natural Language.The model was trained using DIET classifier in Tensorflow for 100 epochs.Furthermore, we were able to integrate the Chatbot into Telegram and Slack messaging application.Lastly, the application was deployed on Google Cloud Platform
Starting kit for the NeurIPS 2023 unlearning challenge
t-SNE implementation in Scala using Breeze numeric libarary.
Implementation of YOLOv3 in detecting objects in a video