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Hi 👋, I'm Andreas

A computer engineer and researcher for applications of artificial intelligence on embedded systems.

andreas-karatzas

  • 🔭 Motivated by problems that are simple and therefore understandable, yet equally complex and therefore interesting.
  • 👯 I'm looking to collaborate on any interesting project that lies at the intersection of artificial intelligence and embedded systems.
  • 📫 How to reach me [email protected]

 AndreasKaratzas

 AndreasKaratzas

AndreasKaratzas andreas.karatzas.8

Andreas Karatzas's Projects

amc icon amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

bismo icon bismo

BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing

brevitas icon brevitas

Brevitas: quantization-aware training in PyTorch

circuit-simulation icon circuit-simulation

This is a Combinational Circuit Logic Simulation Tool. There is a C++ version and a C version.

crypson icon crypson

Modern cryptography algorithms using deep learning

csv2networkx icon csv2networkx

In this repository, there is an implementation of CSV to Graph<V, E> transform using Python 3.8 . The repository was created to validate the results of the TSP algorithm using a naive approach, which is implemented here.

cuda-neural-network icon cuda-neural-network

Simple neural network implementation using CUDA technology. It is an educational implementation.

daedalous icon daedalous

Towards autonomous drones using deep learning.

data_mining icon data_mining

Red wine quality prediction based on multi-dimensional vectors. Each dimension is a different sensor metric. In the same repository, there is another model that predicts if a news title is fake or not (onion-or-not dataset).

ddpg icon ddpg

Implementation of DDPG agent in PyTorch.

deep_learning icon deep_learning

Movie recommendation using deep learning techniques. There are two different implementations. The first is based on fully convolutional networks, and the second utilizes the efficiency of embeddings. The dataset of the project was the IMDB dataset.

distiller icon distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

faster-rcnn icon faster-rcnn

Faster R-CNN fully customizable implementation using PyTorch 1.10.

genetic_algorithms icon genetic_algorithms

This is an implementation of a genetic algorithm for educational purposes. The implementation was done from scratch using plain NumPy and CuPy with Python 3.8. The purpose of the algorithm was to recommend movies to users.

gpupowertest icon gpupowertest

A utility for stressing GPUs by driving utilization (and thus power consumption) up and down in user-defined cycle intervals. It will also randomly drop power consumption down to idle and spike it back up

her icon her

Implementation of DDPG with Hindsight Experience Replay agent in PyTorch.

hermes icon hermes

Client - Server offloading of DNNs.

img2dataset icon img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

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