abaqus-umat-cpp-subroutine

Example of an Abaqus UMAT Subroutine written in C++

bioumat

This code is the Fortran 77 version of the UMAT, FLOW, and SDVINI subroutines of the cartilage model, I firstly proposed in my Master's thesis. The model with minor modification was used in several publications.

cpnets

cuda-repo

From zero to hero CUDA for accelerating maths and machine learning on GPU.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

ehml

Implementation of several extensions, including physics-constrained data augmentation, on multi-fidelity surrogate modeling using TensorFlow and Abaqus.

febio

FEBio Suite Solver

gnnpapers

Must-read papers on graph neural networks (GNN)

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hml

Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in multi-physics modeling of soft tissues.

keras-gcn

Keras implementation of Graph Convolutional Networks

mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

node_v2

Automatically polyconvex strain energy functions using neural ordinary differential equations (Includes porcine skin data for training and FEM application examples).

pdfs

Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)

pmse

Implementation of a new pointwise metric using Keras and Abaqus.

psa

Large scale implementation of pre-stressing in a multiphasic cartilage model in Abaqus

shayansss

shayansss.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

shoulderfiniteelementmodel

Finite element model of a human shoulder.

transferrandomforest

Implementation of the SER-STRUCT algorithm to perform Transfer Learning in Random Forest