kailaix

ADCME.jl. Automatic Differentiation Library for Computational and Mathematical Engineering

AdFem.jl. Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

ADSeismic.jl. A General Approach to Seismic Inversion Problems using Automatic Differentiation

NNFEM.jl. Neural Network Approach for Data-Driven Constitutive Modeling

nnpde. CS230 Project: Deep Learning for PDE

PhysGNN. generative neural network trained with physics knowledge

ADCMESlides. Storing all slides for ADCME

LibHelloWorld. CMake

ADCMEKit.jl. Make Inverse Modeling Easy!