giorgostsal Goto Github PK

airportnet

A simple airport net

arduino

ESP8266 core for Arduino

artificial-learning-part1

Project for Machine Learning Techinques Part 1

artificial-learning-part2

Project 2 - will add ream me later

big-data-analytics-labs

Labs on big data analytics course on cros-corellation, partial cros-corellation, autocorrelations, non linear autocorrelations , networks, Granger and Conditional Granger causality

boost-rocket

A game built with the Unity engine where its goal is to battle gravity and avoid obstacles to skillfully pilot your ship from a launch pad to a landing pad.

cockshooter

A simple shooter game

codeplayer

A live pastebin for HTML, CSS & JavaScript

computational-intelligence-neural-networks

Project of Computational Intelligence

covid-19-image-gallery

Development of an application in Kubernetes cluster in order to display medical images concerning X-rays and CT scans of patients who are positive or suspected of COVID-19 or others viral and bacterial pneumonia (MERS, SARS and ARDS.)

cryptography

Crypto Json files with RSA

csv_to_json_converter

Converts each line of a CSV file to a different JSON.

database-for-hospital-using-fingerprint-scanner

Fingerprint Scanner to identify a person( implement with Arduino)

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dotnetupdater

DotNetUpdater is a library which makes your Desktop .NET(winForm) C# application updatable

energy-predictor

Experimental data used to create regression models of appliances energy use in a low energy building. Applied cros-corellation, partial cros-corellation, autocorrelations, non linear autocorrelations , networks, Granger and Conditional Granger causality and dimensionality reduction

evolutionary-computing

face_recognition

The world's simplest facial recognition api for Python and the command line

functionsvisualbasic

Functions such as binaryGap, cyclicRotation, Distinct

fuzzy-systems-computational-intelligence

The aim of this work is to explore the ability of models TSK in solving classification problems. Specifically, two data sets are selected from the UCI repository for the purpose of sorting, from the available data, samples in their respective classes, using vague neural models. The work consists of two parts, the first of which is intended for a simple investigation of the educational process and evaluation of TSK models, while the second includes a more systematic approach to the problem of data learning, combined with pre-processing steps such as feature selection and model optimization methods through cross validation (cross validation).

gastrointestinal-anomalies-detection-from-egg-signals

The aim of the work is to detect abnormalities of gastric function through its analysis stomach electrical activity, as recorded by an original smart belt bearing suitable sensors. The work involves the development of a computational algorithm various features of EGG and then comparison of these features between Healthy people and people suffering from Parkinson's disease.

giorgos-tsalidis

greektolatinconverter

Converting Greek characters to Latin(Greek government standards)

ifuse

A fuse filesystem to access the contents of iOS devices

ising-model-cuda

The evolution of an Ising model, in CUDA, in two dimensions for a given number of steps 𝑘.

k-nn-mpi

kalman-filter

Assessment of three systems situations using Kalman filter.

machine-learning-in-r

Classification with Decision trees, Naive Bayes, k-Nearest Neigbhors, SVMs, Data Processing(PCA), Clustering with k-Means, DBSCAN, GMMs etc

mlops-iris

Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps

mlops_workshop

Azure MLOps