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bayesian-retrieval

bayesian-torch

An easy-to-use framework to turn any neural network definition in PyTorch into a Bayesian neural network.

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

heparin-prototype

I built this prototype to support my MSc thesis. It is an interface for clinical decision support during heparin treatment.

heparin-research

This is the code to support my MSc thesis: Predictive Modeling of Heparin Dosing in Critical Care.

multilevelgraphpartitionpregel

BSc thesis: "Graph Partitioning in Pregel-like Systems". A multilevel graph partitioning algorithm similar to METIS, implemented over Apache Giraph.

nfts-public

openai-rl

This repository contains supporting material for my guest lecture on reinforcement learning at Harokopeio University (May 2019).

openhawking

An open source software that will help people with severe conditions (e.g ALS) speak. The idea was inspired by the software Stephen Hawking uses.

task_adaptation

tevatron

Tevatron - A flexible toolkit for dense retrieval research and development.

wavenet

Basic implementation of the WaveNet as described in the paper published by DeepMind

wca-net

Supporting code for the paper: Weight-Covariance Alignment for Adversarially Robust Neural Networks. Eustratiadis et al. (ICML 2021)

wt-pgd

Supporting code for the paper: Attacking Adversarial Defences by Smoothing the Loss Landscape. Eustratiadis et al. (ICML Workshop on Adversarial Machine Learning, 2022)