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gaschemesolids

Generalised-alpha scheme for structural dynamics

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

geo-gcn

The official implementation of the SGCN architecture.

gnn-project

A Graph Neural Network project on HIV data

gnnpapers

Must-read papers on graph neural networks (GNN)

gnns-in-network-neuroscience

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

goosefft

Micro mechanical computations with an FFT-based method

graph-based-nn

Graph Convolutional Networks (GCNs)

graphdg

Generative model for molecular distance geometry

graph_element_networks

graph_nets

Build Graph Nets in Tensorflow

graph_transformer_networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

gvae

gvp

Geometric Vector Perceptron --- a rotation-equivariant GNN for learning from biomolecular structure

gvp-pytorch

Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure

homogenization

Homogenization code for 3D lattice structure

homogenization-1

MATLAB code for 2D homogenization problems

hpinn

hPINN: Physics-informed neural networks with hard constraints

iclr2020-padgn

Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum?id=r1gelyrtwH).

labelfree-dnn-surrogate

Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning

lammps-tutorials

LAMMPS tutorials for Beginners

literaturedl4graph

A comprehensive collection of recent papers on graph deep learning

lstm-gru-bilstm-in-tensorflow-for-predictive-analytics

lstm-tensorflow-for-timeseries-forecasting

machine-learning-for-proteins

Listing of papers about machine learning for proteins.

mechanical-stress-prediction-using-convolutional-and-lstm-layers

An artificial neural network that predicts boundary forces on a 2D cube, based on displacement and stress. Model trained by a preexisting FEM dataset

mldl-md-dynamics

A repository of update in molecular dynamics field by recent progress in machine learning and deep learning.

moose

Multiphysics Object Oriented Simulation Environment

multiscale-homogenization

Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The macroscopic BVPs are solved by FEM method (we use PyFEM framework based on the book Nonlinear Finite Element Analysis of Solids and Structures of Rene' de Borst et. al.)

neuralsolvers

Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of PINNs in pytorch.