Name: Konstantinos Theodorakos
Type: User
Bio: Software Engineer on: Artificial Intelligence, Machine/Deep/Meta Learning, Time series, Cloud/Parallel Computing, Robotics and Spatiotemporal simulations
Location: Vorselaar, Belgium
Konstantinos Theodorakos's Projects
3D Parallel (Intel TBB) N-Body Simulator in OpenGL. Two versions: Naive n-body and Barnes-Hut.
ArduPlane, ArduCopter, ArduRover, ArduSub source
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of SLAM resources
:exclamation: This is a read-only mirror of the CRAN R package repository. BART — Bayesian Additive Regression Trees
Bayesian Additive Regression Trees For Python
A Python implementation of global optimization with gaussian processes.
Repo for Brain Networks course
A simple pstack to Ansi C compiler in Java.
Stochastic Cellular Automata epidemic models in Python with 2D simulations
The unofficial Python client for the Coinbase Pro API
Modern port of Melanie Mitchell's and Douglas Hofstadter's Copycat
Make some beautiful corner plots.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
cuML - RAPIDS Machine Learning Library
CUDA Templates for Linear Algebra Subroutines
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Distributed Evolutionary Algorithms in Python
Deep Neuroevolution
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).
Ready-to-run Docker images containing Jupyter applications
Decomposition-Residuals Neural Networks: Hybrid system identification applied to electricity demand forecasting
List of Data Science Cheatsheets to rule the world
"dynoNet: a neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga
The source code of "Early Hospital Mortality Prediction using Vital Signals"
A library to compute ECG signal quality indicators
A lightweight Computer vision service that can detect and count coffee mugs. Written with: Python, Flask, OpenCV and SQLite.