georgezefko's Projects
Assignments and exercises from DTU course 02110 Algorithms and Data Structures 2
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
Implementation of 2 VAE architectures with LSTM and GRU for anomaly detection on sequential data
Bayesian Deep Learning for Learned Data Augmentation
Data and code behind the articles and graphics at FiveThirtyEight
Personal Data Engineering Projects
Demo business case for data engineering consulting
Datacamp practice projects
Example end to end data engineering project.
monorepo for DataBase microservices
Docker Image for the Madness Markdown Server
Exercises and supplementary material for the machine learning operations course at DTU.
Data analysis and implementation of recommender systems for Olist a brazilian retailer.
Human-explainable AI.
Building a Personal Finance Management App: Integrating REST API, Node.js, Express.js, TypeScript, PostgreSQL, and Docker
A neural network fish classifier using a large-scale dataset for fish segmentation and classification
:zap: Dynamically generated stats for your github readmes
Contains data and code used to create bokeh application of world obesity choropleth map
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Laplace approximations for Deep Learning.
Stocks Crypto ETL pipeline using Mage ai DuckDB & Apache Superset
Code for "Bayesian Deep Learning via Subnetwork Inference" (https://arxiv.org/abs/2010.14689)