faizannabi-hub Goto Github PK

cardiac-mri-segmentation

This study addresses left ventricle segmentation in Cardiac MRI using Encoder-Decoder architectures like Spatial Attention and U-Net, refined via dataset augmentation and tuning on the Sunny Brook dataset. Initial Dice and Jaccard coefficients of 0.4307 and 0.2834 improved to 0.8036 and 0.70. High GPU could push Dice above 0.9 and Jaccard above 0.8

coffee-website

dbms-final-demo

deep-learning-models

Marine life Pollution and Aquatic animals classificaion

donation-website

faizan-

faizannabi-hub

Config files for my GitHub profile.

gettingstartedwithgithubinam

letsgrow

lgmvip-web

lgmvip-web-2

lgmvip-web-3

lgmvip-web-4

machine-learning-models

my-captain

mycap-ai-lab-task

pypmclient

Paytm Money Client SDK in python

python-programs

redstore-webpage

My Captain Project - random e-commerce webpage (red store)

research-project---cardiac-mri-segmentation

simplehtr

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

starbucks

underwater-waste-detection-using-yolov8-and-water-quality-assessment

Neural Ocean is a project that addresses the issue of growing underwater waste in oceans and seas. It offers three solutions: YoloV8 Algorithm-based underwater waste detection, a rule-based classifier for aquatic life habitat assessment, and a Machine Learning model for water classification as fit for drinking or irrigation or not fit.

vulnerabilityclassifier

Severity scoring and exploit categorisation for vulnerability reports using machine-learning tools.

webprog