Name: Konstantin Georgiev
Type: User
Company: BHF Centre for Cardiovascular Science, University of Edinburgh
Bio: Precision Medicine PhD Student at the University of Edinburgh.
Building AI tools to support clinical decision-making and interpret pathways in healthcare.
Location: Edinburgh, Scotland
Konstantin Georgiev's Projects
TU-Varna's Artificial Intelligence course (Software and Internet Technologies)
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
CS551G: Data Mining & Visualisation (Assessment II)
CS5062: Machine Learning
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.
DCGAN model for generating fake images of dogs based on the Generative Dog Images Kaggle Competition (2019).
Creating and visualizing decision trees.
Playing around with Google's DeepDream algorithm for feature visualization.
SoftUni Deep Learning Exam 2018 (and part of The Nature Conservancy Fisheries Monitoring Challenge on Kaggle)
Simple fuzzy rule-based logic inference system based on the Mamdani principles.
Predicting whether a bee is in healthy condition to produce honey using a pure Machine Learning approach for Image Classification.
Recolorizing grayscaled historical paintings and photos with Deep Learning using an Autoencoder CNN.
Simple image scraping app made with Python 3 and the tkinter GUI.
Image classification for everyone.
LaTex cheatsheet for iPython/Jupyter notebooks
Main repository for latest LaTeX Tutorials website
Lime: Explaining the predictions of any machine learning classifier
ML courses and handwritten characters project
Multi-agent systems utility scripts.
Data tidying, cleaning, modelling and exploration of the OpenFoodFacts dataset
A model-agnostic tool for explaining text-based risk classification predictions for patients in Intensive Care Units.
PMIU exercises and projects
Various analyses on healthcare data from books (test repo).
ML Reproducibility Challenge 2020 (based on Rethinking Data Augmentation for Image Super-resolution: CVPR 2020)
Creating a rule-based and deep learning algorithm for classifying the sentiment of reviews for Nokia products or movie reivews from Rotten Tomatoes.
Implementing the Neural Style Transfer algorithm for creating artistic images and integrating it as a web service with a Flask app.
Swift Language Weather is an iOS weather app developed in Swift 4.
How to debug your Deep Learning pipeline with TensorBoard (PyTorch tutorial)
Computation using data flow graphs for scalable machine learning
VGG19 and VGG16 on Tensorflow