aleksandarhaber Goto Github PK

aleksandarhaber.github.io

This is my webpage/blog.

bagging-classifier-in-python

In this repository, we posted the codes that demonstrate how to implement the Bagging classifier in the Scikit-learn library and Python.

brief-intro-to-multiclass-classification-in-scikit-learn-and-python

c-code-arduino-for-the-weightlifter-project

This is an Arduino (C code) for controlling the experimental setup "Arduino Weightlifter". Here is the YouTube video of the project: https://www.youtube.com/watch?v=Fj_0KRzNGfA This code is written by Francesco Pecora (undegraduate student) and Aleksandar Haber (professor) CUNY College of Staten Island April 2018

control-node-selection-and-control-action-design-for-nonlinear-networks-and-systems

These are the codes for optimally selecting control nodes and computing control actions for networks with nonlinear dynamics and systems.

deep-q-learning-network-from-scratch-in-python-tensorflow-and-openai-gym

These code files implement the deep Q learning network algorithm from scratch by using Python, TensorFlow, and OpenAI Gym. The codes are tested in the OpenAI Gym Cart Pole (v1) environment.

demonstration-of-cart-pole-openai-gym-reinforcement-learning-environment-in-python-

This code file demonstrates how to use the Cart Pole OpenAI Gym (Gymnasium) environment in Python.

demonstration-of-inheritance-in-cpp

demonstration-of-meshgrid-and-3d-plotting-in-python

demonstration-of-vector-containers-in-cpp-standard-template-library-stl-

This file demonstrates how to use and perform basic operations on vector containers in C++ Standard Template Library (STL). The tutorial webpage accompanying this code file is given here:

disciplined-kalman-filter-implementation-in-python

This code implements the Kalman filter in Python by using an object oriented approach.

disciplined-python-implementation-of-the-recursive-least-squares-method

This is a disciplined Python implementation of the Recursive Least Squares Method

eigen-cpp-matrix-library-demonstration

This repository contains code files that demonstrate how to use the Eigen C++ Matrix library for performing the basic matrix operations, computing eigenvalues, solving linear systems, and computing matrix decompositions.

execute-python-code-from-matlab

These code files explain how to execute Python code directly from MATLAB

extended-kalman-implementation-in-python

graphics-user-interface-in-cpp-and-plotting-using-qt-qcustomplot-and-eigen-matrix-library

This project demonstrates how to develop graphic user interfaces in C++ using the Qt development environment. Also, we demonstrate how to couple Eigen matrix library with QCustomPlot Qt library to generate graphs and plots in C++

greedy-in-the-limit-with-infinite-exploration-glie-monte-carlo-reinforcement-learning-in-python

The Python codes given here, explain how to implement the Greedy in the Limit with Infinite Exploration (GLIE) Monte Carlo Control Method in Python. We use the OpenAI Gym (Gymnasium) to test the Python codes. More precisely we use the Frozen Lake Environment to test the GLIE Monte Carlo Control method.

implementation-of-voting-classifier-in-scikit-learn-and-python---ensemble-machine-learning

introduction-to-eigen-cpp-matrix-computation-library

This C++ code explains how to use the Eigen C++ library to perform matrix computations. A video lecture and a post accompanying this code is provides.

introduction-to-openai-gym-python-library-and-frozen-lake-reinforcement-learning-environment

This code demonstrates how to use OpenAI Gym Python Library and Frozen Lake Environment. This code accompanies the tutorial webpage given here:

introduction-to-recurrent-neural-networks-in-keras-and-tensorflow

introduction-to-scikit-learn-classification-and-visualization

introduction-to-time-series-analysis-and-estimation-in-python

These are the codes that support the lectures on time-series analysis and estimation in Python.

iterative-policy-evaluation-algorithm-and-openai-gym

This code implements the iterative policy evaluation algorithm in Python. We use the Frozen Lake environment from OpenAI Gym library to illustrate the performance of the iterative policy evaluation algorithm.

kalman-filter-implementation-in-cpp-using-eigen-library

linear-quadratic-regulator-optimal-control-in-cpp-from-scratch-by-using-newton-method

We implemented a solution of the Linear Quadratic Regulator (LQR) Optimal Control problem in C++. We use the Newton method to solve the Riccati equation and to compute the solution.

linear-quadratic-regulator-with-nonzero-set-points-in-matlab

low-cost-brain-computer-interface-by-using-openbci-cython-board-matlab-and-arduino

This repository contains MATLAB and Arduino C codes for establishing a low-cost brain computer interface. The brain computer interface is based on the Cython OpenBCI board, MATLAB, Arduino, and a stepper motor.

machine-learning-and-identification-of-temperture-dynamics

machine-learning-and-system-identification-for-adaptive-optics

This project deals with system identification and machine learning of large-scale deformable mirrors used in adaptive optics. I have submitted two papers that deal with this important problem. The approaches can be generalized two other problems of estimating large-scale system with the dynamics described by partial differential equations.