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Name: Vasileios Saveris
Type: User
Bio: Machine Learning Engineer
Name: Vasileios Saveris
Type: User
Bio: Machine Learning Engineer
Traffic forecasting study case of an application server (cluster, servers x4) using Machine Learning.
Schema extraction from Microsoft CDM files, in python.
The Python programming language
Deep Learning projects inspired from my studies in the Deep Learning nanodegree (Udacity).
Effective Python: Second Edition — Source Code and Errata for the Book
Implementation of graph algorithms in Python.
Implementation of a Deep Reinforcement Learning agent (Deep Q-Network) for landing successfully the ‘Lunar Lander’ from the OpenAI Gym.
Use of OpenCV's implementation of Haar feature-based cascade classifier, to detect human faces in images.
'Poisson Image Editing' by Patrick Perez Michel Gangnet and Andrew Blake (reference [1]) is a research paper in which a technique for seamless blending images together is presented. 'The mathematical tool at the heart of the approach is the Poisson partial differential equation with Dirichlet boundary conditions which species the Laplacian of an unknown function over the domain of interest, along with the unknown function values over the boundary of the domain.' The main scope of this project is to implement in python the mathematical tool described in the paper. Additionally, I replicate some of the show cases presented in the paper and I compare my results with the originals. Finally, I apply the developed method in photos taken by my own and images taken from the web.
Particle filter implementation on a raspberry-pi home made vehicle.
Road sign detection is a technology started being available in public already in 2008 (BMW 7 series) and it is continuously evolving. Currently its main use is as a component of the advanced driver assistance systems (ADAS) and a main feature on the design of autonomous cars. In the scientific field, there are a lot of papers from researchers in which they describe and demonstrate work flows for a more accurate and faster Traffic Sign Detection. In their focus it is not only to suggest improvements in the traditional computer vision techniques but additionally to combine Machine Learning algorithms which can boost the performance of object detection in general. In this project, my aim is to study the recent papers on the topic and to produce a system which can successfully recognize Traffic Signs and Lights from real world images. My selected approach and implementation results will be presented on this report.
Trading Technical Indicators python library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.