imaslam87

imaslam87's Stars

• mgrubisic/Numerical_Methods_Introduction

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

  21

• Ashim-Paudel/OpenSees_Learning

  OpenSees is an open-source software framework for simulating the seismic response of structural and geotechnical systems. Developed by the PEER Center, OpenSees is widely used in the field of earthquake & structural engineering.

  Language:Jupyter Notebook171

• imaslam87/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.

  1

• iqram1337/PSHA

  Basic practice for Probability Seismic Hazard Analysis

  Language:Jupyter Notebook1

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python219k24.8k

• nackerley/indian-subcontinent-psha

  An OpenQuake implementation of the probabilistic seismic hazard analysis of Nath & Thingbaijam (2012)

  Language:Jupyter Notebook53

• denavit/libdenavit-py

  A Python library for strcutural engineering research.

  Language:Python98

• andmck1/nn-sdof

  Replicating and improving on a neural net architecture to predict displacement in single degree-of-freedom system.

  Language:Jupyter Notebook31

• Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow

  Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

  Language:Jupyter Notebook786370

• joelgrus/data-science-from-scratch

  code for Data Science From Scratch book

  Language:Python8.6k4.5k

• luspr/awesome-ml-courses

  Awesome free machine learning and AI courses with video lectures.

  2.7k279

• imaslam87/Introductory-Finite-Elements

  Introductory course on the Finite Element Method

  1

• mgrubisic/latex-template-collection

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

  11

• imaslam87/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".

  1

• mgrubisic/digital-signal-processing-lecture

  Lecture notes for a masters course on Digital Signal Processing

  Language:Jupyter Notebook35

• mgrubisic/OSW-6ICEES

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

  11

• mgrubisic/introduction-to-python-for-computational-science-and-engineering

  Book: Introduction to Python for Computational Science and Engineering

  Language:Jupyter Notebook43

• mgrubisic/OpenSees-Procedures

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

  Language:Tcl11