#partial-differential-equations (21 Repositories)
Ranked open-source repositories tagged with #partial-differential-equations, scored by pull request acceptance likelihood and maintainer engagement velocity.
58.1%
64.4h
21 repositories tagged #partial-differential-equations
SciML/FiniteVolumeMethod.jl
Solver for two-dimensional conservation equations using the finite volume method in Julia.
FEniCS/ufl
UFL - Unified Form Language
WIAS-PDELib/VoronoiFVM.jl
Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method
Ferrite-FEM/Ferrite.jl
Finite element toolbox for Julia
FEniCS/dolfinx
Next generation FEniCS problem solving environment for solving finite element problems
SciML/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
SciML/FEniCS.jl
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
gridap/Gridap.jl
Grid-based approximation of partial differential equations in Julia
gridap/GridapDistributed.jl
Parallel distributed-memory version of Gridap
SciML/MethodOfLines.jl
Automatic Finite Difference PDE solving with Julia SciML
SciML/DiffEqFlux.jl
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
FourierFlows/FourierFlows.jl
Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains
JuliaApproximation/ApproxFun.jl
Julia package for function approximation
simpeg/simpeg
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
FreeFem/FreeFem-sources
FreeFEM source code
PetrKryslUCSD/FinEtools.jl
Finite Element tools in Julia
simpeg/discretize
Discretization tools for finite volume and inverse problems.
SciML/DiffEqOperators.jl
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
SciML/FluxNeuralOperators.jl
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
mitmath/18S096SciML
18.S096 - Applications of Scientific Machine Learning
clawpack/riemann_book
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.