Gideon A. Lyngdoh's repositories
gym
A toolkit for developing and comparing reinforcement learning algorithms.
Gideon-Lyngdoh
My Github Pages Repository
deepxde
Deep learning library for solving differential equations and more
fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
ABAQUS_PDALAC
Development of the Failure Criteria for Composites using ABAQUS Subroutines (UMAT/VUMAT)
gmshModel
A mesh modeling interface to the Gmsh-Python-API
segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
CartPole
Måns och Hotles cartpole kod
ANN_functions
ANN functions to calculate some mechanical properties of unidirectional composites
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".
PINN-laminar-flow
Physics-informed neural network for solving fluid dynamics problems
Abaqus-Voronoi-cell-FEM
A python script to generate code that creates a Voronoi cell FEM for Abaqus CAE
surface-crack-detection
An experiment with deep learning to segmentation
PhyCNN
Physics-guided Convolutional Neural Network
pinn
Physics-informed neural networks package
machine_learning_examples
This is a machine learning examples for beginners in Jupyter notebooks
PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
stress_net
Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks
UNet-for-FEM-and-Stress-Distribution-Inference
A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.
ORGANIC
Code repo for optimizing distributions of molecules.
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.
EN234_FEA
FEA project for EN2340 Computational Methods in Structural and Solid Mechanics, Brown University
ABAQUS-US
A variety of ABAQUS user element (UELs) and user material (UMATs) subroutines