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aihcnd_c2_starter

aorta-compliance

brick-breaker

Just a simple game

convolutional-autoencoder-mnist

covid-diagnosis-cnn

In this project, we present a deep learning-based approach to detect COVID-19 infections from CXR images. We propose a deep CNN model to classify a COVID-19. To put it in another way, we built a model that can identify COVID-19 infections from CXR images.

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

django-vue-ecom

dog-breed-classifier-cnn

Dog breed classifier developed with CNN and transfer learning using Pytorch - Udacity Capstone Project

dsnd_term2

Contains files related to content and project of DSND Term 2

eairtickets

ecommerce-django

freelancer-theme

gari

GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

generate-3d-object

histogram-matching-radiomics

intro-to-ml-tensorflow

Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course

line-following-robot

materializeproject

metacovid-siamese-neural-network

MetaCovid diagnosis using Siamese Neural Networks and few-shots learning

ml_sagemaker_studies

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

my-jekyll-website

Learning jekyll

neuralgenetic

Building and training artificial neural networks (regression or classification) using the genetic algorithm.

opencv-course

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

proportional-robot-controller

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

radiomics-features-extraction

The purpose of this project is to automate the radiomics workflow and find the best composition of features, settings and parameters that can be used in order to achieve the best performance. Performance can be measured with some specific metrics (like accuracy or AUC) after our AI model has been trained.

radiomics-ml-ga

Radiomics machine learning classification enchanced with genetic algorithms

restful-prototype-asset-management

This project is created for a job application and it represents my skills in full-stack web development. The frontend is implemented with Angular and TypeScript The Backend is implemented with Java Spring framework and Hibernate

sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker