Computer Vision and Machine Learning

TensorFlow implementation of Neural Style Transfer algorithm using Adam optimization

Neural style transfer with pyTorch

Neural style transfer (NST) is an optimization technique which takes two images, a Content image (the one you want to edit) and a style quotation image, and combine them together so the resultant image looks like the content image, but “edited” in the style of the style quotation image.

Experiments with convolutional neural networks for emotion recognition

Detecting Retinopathy of Prematurity Disease in Premature Baby Based on Fundus Image Data with CNN Model using VGG19's Architecture.

An application that changes the background of a content image.

Implementation of a deep learning model for leukemia classification and malaria detection using CNNs. The model utilizes transfer learning with VGG19 and InceptionV3 architectures, trained on custom datasets. The code includes data preprocessing, model training, evaluation, and visualization of performance metrics. Achieved high accuracy

An implementation of flower search using VGG19 and KNN, with image dataset scraped from Google Image

Automated Web-based Malaria Detection System Using Machine Learning, Deep Learning and Transfer Learning Techniques: A Comparative Analaysis

VGG19 --> Neural Style Transfer

This is the methodology I worked on while developing Visual Search Engine for pepperfry.com at Pepperfry as AI Engineer.

Video Summary Detection. The purpose of the tool is to summarize a long video into small pieces of key frames and visualize them as gif animation.

Yolo algorithm applied on a video file so as to detect cars, traffic lights and a few other classes.

A style-transfer method by utilizing convolutional neural networks

نقل النمط العصبوني: بناء طريقة للتعلم العميق باستخدام كيراس tf.keras و منفّذ إيجر eager execution

Beans leaf dataset with images of diseased and health leaves.

Metis project 6/7

PixForgeOn: (NST)Style-Blend Magic! 🎨 using tensorflow