Name: Marsha Mariya Kappan
Type: User
Bio: Computer Science Engineer {B.Tech-->M.Tech->Ph.D(pursuing)}
Full Stack Developer, Drug Design ,Data Science, Python, Java, Angular, Bioinformatics, ML,AI, DL
Twitter: MKappan
Location: Australia
Marsha Mariya Kappan's Projects
Drug-induced liver injury (DILI) is fatal liver disease caused by drugs and it has been the single most frequent cause of safety-related drug marketing withdrawals for the past 50 years (e.g. iproniazid, ticrynafen, benoxaprofen). The DILI dataset is aggregated from U.S. FDA’s National Center for Toxicological Research. Given a drug SMILES string, predict whether it can cause liver injury (1) or not (0).
This is a project to develop an interactive front end using Angular. A user registration and login page is developed. And login is done using Role-based Authorization
To calculate approximate bounding box for a person using keypoint coordinates only
This is the program to predict whether a person have brain tumour or not by using MRI images
Simulate a wireless network consisting of TCP and UDP Traffic and then calculate their respective throughput using AWK script.
CBAM: Convolutional Block Attention Module implementation from scratch with detailed explanation
Depthwise separable convolution from scratch
A webpage designed using Python's streamlit library to predict diseases such as diabetes and heart disease. The Machine learning model creation is done using Linear regression and SVM.
SCAN,CSCAN,LOOK,CLOOK
SCAN, CSCAN,LOOK,CLOOK
This repository will help to extract red, green, blue images separately from a color image.
This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).
To simulate a wired network consisting of different queues like DropTail, FQ, SFQ, DRR, RED and evaluate their performances.
Evaluate the performance of routing protocols DSDV, DSR and AODV
To evaluate the performance of routing protocols, Distance Vector Routing Protocol and Link State Routing Protocol in wired network using NS2.