imaslam87 Goto Github PK

accessibilitypaper

Collaboration with Jack Baker

afdd

Automated Modal parameters identification from ambient vibrations measurement using the FDD

blog

crack_detection_cnn_masonry

This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning" by D. Dais, İ. E. Bal, E. Smyrou, and V. Sarhosis published in "Automation in Construction".

cs229-python

Exercises and solutions to Stanford CS229 Machine Learning in Python

cumbia

CUMBIA - a set matlab/octave codes for the analysis of reinforced concrete members

cumbia-walls

Matlab/Octave set of codes for the analysis of reinforced concrete walls

data-science-from-scratch

code for Data Science From Scratch book

digital-signal-processing-lecture

Lecture notes for a masters course on Digital Signal Processing

directionalityspectra

DirectionalitySpectra

dse210_probability_statistics_python

Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

eqe512-matrix-methods-in-structural-analysis

eqsig

Signal processing for field and experimental data for earthquake engineering

imaslam87

Config files for my GitHub profile.

imss_course

Codes used as part of the ETH lecture on Identification methods for Structural Systems

introduction-to-python-for-computational-science-and-engineering

Book: Introduction to Python for Computational Science and Engineering

introduction_to_machine_learning

Introduction to Machine Learning, for B.Sc. Students, Computer Engineering Department, Sharif University of Technology

introductory-finite-elements

Introductory course on the Finite Element Method

latex-template-collection

Collection of different LaTeX/XeTeX templates (cv, invoices, timesheets, letters, etc.).

libdenavit-py

A Python library for strcutural engineering research.

machine-learning-from-scratch

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

moment-curvature

Moment curvature calculation for a single section

momentcurvatureanalysis

myfirstscikitlearnmodel

Train your first machine learning model using Jupyter Notebooks and Scikit learn

numerical_methods_introduction

A set of Jupyter Notebooks demonstrating various numerical methods in Python.

openquake-notebooks

Collection of notebooks for OpenQuake scripts

opensees-procedures

A set of useful procedures to do different types of analysis in OpenSees

openseespy-examples

This is a more pythonic implementation of OpenSeesPy library to model and analyze structural problems in Jupyter notebooks

openseespydoc

OpenSeesPy Documentation

osw-6icees

OpenSees Workshop - 6th International Conference on Earthquake Engineering and Seismology (6ICEES)