kgeorgiev42
Precision Medicine PhD Student at the University of Edinburgh. Building AI tools to support clinical decision-making and interpret pathways in healthcare.
BHF Centre for Cardiovascular Science, University of EdinburghEdinburgh, Scotland
Pinned Repositories
Classification-of-Nuclear-Water-Reactor-Status
CS551G: Data Mining & Visualisation (Assessment II)
DCGAN-Dog-Generator
DCGAN model for generating fake images of dogs based on the Generative Dog Images Kaggle Competition (2019).
DeepDream
Playing around with Google's DeepDream algorithm for feature visualization.
Fuzzy-RB-System
Simple fuzzy rule-based logic inference system based on the Mamdani principles.
Honey-Bee-Health-Classification
Predicting whether a bee is in healthy condition to produce honey using a pure Machine Learning approach for Image Classification.
Image-Colorization-of-Historical-Paintings
Recolorizing grayscaled historical paintings and photos with Deep Learning using an Autoencoder CNN.
Image-Scraping-app
Simple image scraping app made with Python 3 and the tkinter GUI.
OpenFoodFacts-EDA
Data tidying, cleaning, modelling and exploration of the OpenFoodFacts dataset
Patient-Risk-Explainer
A model-agnostic tool for explaining text-based risk classification predictions for patients in Intensive Care Units.
Style-AI
Implementing the Neural Style Transfer algorithm for creating artistic images and integrating it as a web service with a Flask app.
kgeorgiev42's Repositories
kgeorgiev42/DCGAN-Dog-Generator
DCGAN model for generating fake images of dogs based on the Generative Dog Images Kaggle Competition (2019).
kgeorgiev42/Fuzzy-RB-System
Simple fuzzy rule-based logic inference system based on the Mamdani principles.
kgeorgiev42/Style-AI
Implementing the Neural Style Transfer algorithm for creating artistic images and integrating it as a web service with a Flask app.
kgeorgiev42/OpenFoodFacts-EDA
Data tidying, cleaning, modelling and exploration of the OpenFoodFacts dataset
kgeorgiev42/Image-Colorization-of-Historical-Paintings
Recolorizing grayscaled historical paintings and photos with Deep Learning using an Autoencoder CNN.
kgeorgiev42/Classification-of-Nuclear-Water-Reactor-Status
CS551G: Data Mining & Visualisation (Assessment II)
kgeorgiev42/DeepDream
Playing around with Google's DeepDream algorithm for feature visualization.
kgeorgiev42/Image-Scraping-app
Simple image scraping app made with Python 3 and the tkinter GUI.
kgeorgiev42/imageatm
Image classification for everyone.
kgeorgiev42/MultiagentSystems
Multi-agent systems utility scripts.
kgeorgiev42/Patient-Risk-Explainer
A model-agnostic tool for explaining text-based risk classification predictions for patients in Intensive Care Units.
kgeorgiev42/TensorBoard-Tutorial
How to debug your Deep Learning pipeline with TensorBoard (PyTorch tutorial)
kgeorgiev42/Honey-Bee-Health-Classification
Predicting whether a bee is in healthy condition to produce honey using a pure Machine Learning approach for Image Classification.
kgeorgiev42/AI_TU-Varna
TU-Varna's Artificial Intelligence course (Software and Internet Technologies)
kgeorgiev42/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
kgeorgiev42/Concrete-Regression-and-Wine-Classification-Tasks
CS5062: Machine Learning
kgeorgiev42/cov19.rehab.analysis
This is a small R package used to describe COVID-19 related rehabilitation pathways in the hospital using routine data. The data is pseudo-randomly generated to match the structure of routine NHS Lothian (UK) datasets.
kgeorgiev42/Decision-Trees-Tests
Creating and visualizing decision trees.
kgeorgiev42/Fish-Species-Recognition
SoftUni Deep Learning Exam 2018 (and part of The Nature Conservancy Fisheries Monitoring Challenge on Kaggle)
kgeorgiev42/latex-ipynb
LaTex cheatsheet for iPython/Jupyter notebooks
kgeorgiev42/lime
Lime: Explaining the predictions of any machine learning classifier
kgeorgiev42/PMIU-Android-Development
PMIU exercises and projects
kgeorgiev42/r-healthcare-analysis
Various analyses on healthcare data from books (test repo).
kgeorgiev42/ReCutBlur
ML Reproducibility Challenge 2020 (based on Rethinking Data Augmentation for Image Super-resolution: CVPR 2020)
kgeorgiev42/Sentiment-Analysis-for-Product-Reviews
Creating a rule-based and deep learning algorithm for classifying the sentiment of reviews for Nokia products or movie reivews from Rotten Tomatoes.
kgeorgiev42/SwiftLanguageWeather
Swift Language Weather is an iOS weather app developed in Swift 4.
kgeorgiev42/Time-Series-Classification-and-Data-Clustering
CS551G: Data Mining and Visualisation Assignment I (University of Aberdeen)
kgeorgiev42/Traffic-Priority-Prediction
Predicting the ideal priority sequence of towns using generated continuous data with Decision Trees and Bayesian Networks.
kgeorgiev42/WeatherAppAdvanced
Mvp architecture with dagger injections and functional tests.
kgeorgiev42/WeatherSystem
ISoftBG test project