Shakib Khan's repositories
Python_Practice
This repo contains different sets of problems solve in python. From the beginning level to the Advance level of python problems.
Diminishing_Image_Noise_Using_Deep_Learning
Denoising an image is a classical problem that researchers are trying to solve for decades. In earlier times, researchers used filters to reduce the noise in the images. They used to work fairly well for images with a reasonable level of noise. However, applying those filters would add a blur to the image. And if the image is too noisy, then the resultant image would be so blurry that most of the critical details in the image are lost. There has to be a better way to solve this problem. As a result, I have implemented several deep learning architectures that far surpass the traditional denoising filters. In this blog, I will explain my approach step-by-step as a case study, starting from the problem formulation to implementing the state-of-the-art deep learning models, and then finally see the results.
KD-lesions
[CIBM'2021] Knowledge Distillation approach towards Melanoma Detection
Covid-19_Sentiment_Analysis
[CMMM'2021] Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data
Graph-Network
Graph Neural Network
INSE_6220_Lab_Winter_2023
INSE 6220 (Advanced Statistical Approaches to Quality)
Sleep_Apnea_Monitoring_System
[CMMM'2021] Development of an IoT-Based Sleep Apnea Monitoring System for Healthcare Applications
Water_Quality_Monitoring
[Journal of Healthcare Engineering'22] IoT-Based Water Quality Assessment System for Industrial Waste WaterHealthcare Perspective
neural-style-transfer
Image style transfer using perceptual loss. A web application to style images.
anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
COMP_353_Winter_2023
COMP 353: Database
plugnplay
Repo for code snippets that are reused in my projects.
Python
All Algorithms implemented in Python
PytorchGeometricTutorial
Pytorch Geometric Tutorials
Tableau
So what I did in this repo was, I took the Covid-19 dataset and analyzed them by comparing using Geolocation, number of deaths, number of corona positive tests, And also try to make a relation with different data like is there anything like the county has large population also have a high amount of deaths rate or positive.