mdai26

PGNN

Polycrystal Graph Neural Network

ML-SOT

Machine learning prediction of Field-Free Spin-Orbit-Torque Switching

Polygrain_Voronoi

2D and 3D polygrain microstructure generation through Voronoi Tessellation

3DGrainGrowth

GPU accelerated 3D Grain Growth model

ElasticEnergyExpression

Derive the formula of elastic energy using total strain and eigenstrain

MinTotEnergy

Calculation of the magnetization direction with minimum total energy

mumax3scripts

Python code and scripts for mumax3 simulation

plotting_paraview

cgcnn

Crystal graph convolutional neural networks for predicting material properties.

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

gae

Implementation of Graph Auto-Encoders in TensorFlow

GAN_Materials_Discovery

Microstructural Materials Design Via Deep Adversarial Learning Methodology

gcn

Implementation of Graph Convolutional Networks in TensorFlow

graph_nets

Build Graph Nets in Tensorflow

GraphRNN

images_and_videos_tool

Store codes for plotting figures and make videos based on my own data

integrated-gradient-pytorch

This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.

Integrated-Gradients

Attributing predictions made by the Inception network using the Integrated Gradients method

mdai26

pygcn

Graph Convolutional Networks in PyTorch

tutorials