Must-read Papers on Physics-Informed Neural Networks.

🌊 Numerically solving and backpropagating through the wave equation

Additional material for computational geophysics course

This repository gives the codes for numerical solver independent seismic wave simulation using Task-decomposed Physics-informed Neural Networks.

Template for nonlinear optimization using l-BFGS and Newton-CG

auto-formatter for modern fortran source code

Minimal Jupyter C kernel

Python-Fortran bindings examples

Fortran-Julia syntax comparison and Maxwell Solver in 2D using Yee numerical scheme and MPI topology

A cheatsheet of Fortran syntax for Python programmers

Scientific Computing with Python for beginners.

Minimal Jupyter Fortran kernel

Short python samples of recreational mathematics.

🦐 Electromagnetic Simulation + Automatic Differentiation

Fortran language support for Visual Studio Code

LaTeX files for the Deep Learning book notation

Examples using COFII, the Chevron Optimization Framework for Imaging and Inversion.

Style guides for Google-originated open-source projects

Set of seismic modeling and inversion examples using Devito for different wave equations.

High-performance automatic differentiation of LLVM and MLIR.

Python implementation of "A New Alternating Minimization Algorithm for Total Variation Image Reconstruction"

Collection of inverse problems in image processing via Alternating Direction Method (ADM), Alternating Minimization Method (AMA), Group Sparse signal denoising and Majorization-Minimization optimiz…

Proximal operators for nonsmooth optimization in Julia

Large scale convex optimization solvers in julia