shiivashaakeri Goto Github PK
Name: Shiva Shakeri
Type: User
Bio: PhD in Aeronautics and Astronautics Engineering at University of Washington - RAIN Lab
Location: Seattle, WA
Blog: https://shivashakeri.com
Name: Shiva Shakeri
Type: User
Bio: PhD in Aeronautics and Astronautics Engineering at University of Washington - RAIN Lab
Location: Seattle, WA
Blog: https://shivashakeri.com
course material for AA/EE/ME 548 Spring 2024
This project implements a controller for an inverted pendulum system using a PID controller and lead-lag compensator. The goal is to stabilize the inverted pendulum, which is a classic example of a nonlinear, unstable system, by designing a controller that can keep the pendulum upright.
This repository contains Python code for exploring two statistical concepts - the birthday problem and the central limit theorem.
This is a Python implementation of k-means clustering algorithm from scratch. It allows you to cluster data points into K clusters using Euclidean distance as a similarity metric.
This project involves building three Convolutional Neural Network (CNN) models using Keras-TensorFlow on the CIFAR-10 dataset.
It aims to control a magnetic levitation system for stabilizing a ball at a desired position. The project consists of two phases. In Phase 1, a model of the magnetic levitation system is developed, and a PID controller is designed. In Phase 2, state-feedback and observer-based controllers are designed to enhance the system's performance.
J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," in IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1702-1717, April 2021, doi: 10.1109/TAC.2020.3000182.
Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CAC), Beijing, China, 2021, pp. 394-399, doi: 10.1109/CAC53003.2021.9728233.
This project implements two algorithms, K-Nearest Neighbors (KNN) and Large Margin Nearest Neighbor (LMNN) using the Neighbourhood Component Analysis (NCA) approach.
This project implements a Naive Bayes Classifier from scratch using Python. The classifier is used to classify mushrooms as either edible or poisonous based on various features such as cap shape, cap color, gill color, etc.
This project introduces a fault detection framework using neural networks for the RCAM. The study begins by remodeling the RCAM’s nonlinear dynamics to simulate various fault conditions. Subsequently, data generated from these faulty models underpin the training and testing of neural networks.
This project is a simple implementation of a neural network with gradient descent optimization from scratch. The goal of this project is to demonstrate how a neural network works and how the gradient descent algorithm can be used to optimize its parameters.
This project is a demonstration of semi-supervised logistic regression using Python. In semi-supervised learning, we have access to both labeled and unlabeled data to train our model. The labeled data is used to train the initial model, and the model's predictions on the unlabeled data are used to create pseudo-labels.
This project is an ESP8266 and Arduino-based weather station that can be used to monitor temperature and humidity. It uses the SHT20 sensor to collect weather data and sends the data to a cloud server using the ESP8266 Wi-Fi module.
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.