y Riyazi's Projects
establishing a seamless connection between MATLAB Simulink and MSC Adams, enabling effective collaboration between these two powerful engineering simulation tools.
One of my most fulfilling experiences began when Dr. Saeimi Sadigh, my professor, discussed poor valve spring quality, causing rattle and exhaust manifold failure. I worked around the clock with the guidance of Dr. Jahdi to create and simulate a CAD replica of the motor to study it for the first time.
implementation of the Colorful Image Colorization technique proposed by Richard Zhang, Phillip Isola, and Alexei A. Efros.
The Gearbox Fault Diagnosis dataset consists of vibration data recorded using SpectraQuestβs Gearbox Fault Diagnostics Simulator. The dataset captures vibrations using four sensors placed in different directions, under varying loads from 0% to 90%.
"hello world" demos & templates for various languages, for beginners and experts alike, incl. gcc build commands for C & C++
Code examples for HTML Email v2 workshop from Frontend Masters.
MSC AdamsDescription:π§ Welcome to our Machine Dynamics Mid-Term Simulation! In this video, we delve into the intricacies of a Hacksaw Mechanism, meticulously simulated using MSC Adams software.π οΈ Understanding the dynamics of machinery is crucial for engineers, and this simulation provides a hands-on experience that goes beyond theory.
Automatically generating language descriptions for remote sensing images has emerged as a significant research area within the field of remote sensing. This project focuses on attention-based captioning methods, which are a prominent class of deep learning-based techniques for generating captions.
Audio emotion detection.
ou'll find a collection of Jupyter Notebook files showcasing various Generative Adversarial Networks (GANs) and their applications. Each notebook provides an interactive and informative environment to explore and experiment with different GAN architectures and techniques.
In this work, we present a novel approach that combines the power of Koopman operators and deep neural networks to generate a linear representation of the Duffing oscillator. This approach enables effective parameter estimation and accurate prediction of the oscillator's future behavior.
This repository contains an implementation of a neural network from scratch using only NumPy, a fundamental library for numerical computing in Python. The neural network is designed to perform tasks such as classification, regression, or any other supervised learning problem.
The main objective of this project is to investigate stress concentration in a plane under tension and compare the results obtained from numerical simulations using different software packages.
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Count the MACs / FLOPs of your PyTorch model.
PyTorch implementation of a sequence-to-sequence model for translating English to Spanish.
Turn a MacBook into a Touchscreen with $1 of Hardware
This GitHub project focuses on the analysis and control of a three-degree-of-freedom Quanser helicopter.
This repository serves as a storage unit for unnecessary files.
his repository demonstrates how to use Hugging Face and OpenAI models to convert spoken language into text and generate concise summaries.
simulating the concepts covered in the Adaptive Control Course