FourierFlows/FourierFlows.jl

Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Automatic Finite Difference PDE solving with Julia SciML

Grid-based approximation of partial differential equations in Julia

High performance computational platform in Python for the spectral Galerkin method

FiPy is a Finite Volume PDE solver written in Python

A differentiable PDE solving framework for machine learning

Python package for solving partial differential equations using finite differences.

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations