giorgosmamakoukas Goto Github PK

advancedmechatronics

All projects

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

bayesian_mixture_nonlinear_models

Multiple-model nonlinear regression system identification using the EM algorithm and Bayesian framework for model assignment

bibtex-tidy

BibTeX Tidy - Cleaner and Formatter for BibTeX files

bilinear_system_feedback_control

cdmdc

comp414-514

Optimization: Algorithms, Complexity & Approximations

control-toolbox

The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control

cpp-cheat-sheet

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

cppprojects

Projects written in C++

d3s

Data-driven dynamical systems toolbox.

datadrivencontrolofroboticfish

ddk

files for DDK

deepkoopmanwithcontrol

Soure code for Deep Koopman with Control

deepracing

Autonomously learning to race autonomously

demon_sgd

DEMON SGD Optimizer for TensorFlow

demonrangeroptimizer

Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay

derivativebasedkoopman

dlkoopman

Koopman theory implemented using deep learning

do-mpc

Model predictive control python toolbox

dynamic_optimization_inventory

A curated list of solvers/software/frameworksrelevant for dynamic optimiation

efficient-calibration-embedded-mpc

Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Bemporad

frankaemikapandadynmodel

Dynamic model of the Franka Emika Panda robot

giorgosmamakoukas.github.io

hackerrank-solutions

HackerRank concepts & solutions

hackerrank-solutions-1

HackerRank solutions to various domains like Problem Solving, 30 Days of Code, C, C++, Python, Linux Shell, Skill Tests.

hackerrankpractice

170+ solutions to Hackerrank.com practice problems using Python 3, С++ and Oracle SQL

kalman

Some Python Implementations of the Kalman Filter

koopmangeneratorem

Expectation Maximization (EM) algorithm to approximate Koopman generators for control-affine systems

koopmanoperatorsinrobotlearning

Code to accompany TRO Journal