glyngdoh Goto Github PK

abaqus-us

A variety of ABAQUS user element (UELs) and user material (UMATs) subroutines

abaqus-voronoi-cell-fem

A python script to generate code that creates a Voronoi cell FEM for Abaqus CAE

abaqus_pdalac

Development of the Failure Criteria for Composites using ABAQUS Subroutines (UMAT/VUMAT)

ann_functions

ANN functions to calculate some mechanical properties of unidirectional composites

cartpole

Måns och Hotles cartpole kod

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".

deepxde

Deep learning library for solving differential equations and more

dinn-framework-stress-prediction-for-heterogeneous-media

dl_stress_taa

en234_fea

FEA project for EN2340 Computational Methods in Structural and Solid Mechanics, Brown University

exploring-design-spaces

The goal of the project is to explore the design spaces using neural networks, which will be able to predict the functional behavior of the object.

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

gideon-lyngdoh

My Github Pages Repository

gmshmodel

A mesh modeling interface to the Gmsh-Python-API

gym

A toolkit for developing and comparing reinforcement learning algorithms.

machine_learning_examples

This is a machine learning examples for beginners in Jupyter notebooks

machine_learning_glass

machinelearningwithmultipleoutput

organic

Code repo for optimizing distributions of molecules.

phycnn

Physics-guided Convolutional Neural Network

pinn

Physics-informed neural networks package

pinn-laminar-flow

Physics-informed neural network for solving fluid dynamics problems

pinn_ode_tutorial

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

simulated-data-strain-sensing-response-of-a-nano-engineered-smart-cementitious-composite

stress_net

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

surface-crack-detection

An experiment with deep learning to segmentation

unet-for-fem-and-stress-distribution-inference

A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.

valife-toolbox