Awesome Open Source

Programming Languages

Search results for partial differential equations pde

partial-differential-equations x

22 search results found

Differentialequations.jl ⭐ 2,689

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Neuraloperator ⭐ 1,811

Learning in infinite dimension with neural operators.

Neuralpde.jl ⭐ 864

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

Scimltutorials.jl ⭐ 698

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Gridap.jl ⭐ 618

Grid-based approximation of partial differential equations in Julia

Findiff ⭐ 361

Python package for numerical derivatives and partial differential equations in any number of dimensions.

Python package for solving partial differential equations using finite differences.

Diffeqbase.jl ⭐ 282

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

Diffeqoperators.jl ⭐ 279

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

Scimlbenchmarks.jl ⭐ 279

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

Neuraloperators.jl ⭐ 206

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

PyClaw is a Python-based interface to the algorithms of Clawpack and SharpClaw. It also contains the PetClaw package, which adds parallelism through PETSc.

Methodoflines.jl ⭐ 144

Automatic Finite Difference PDE solving with Julia SciML

Fenics.jl ⭐ 86

A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language

Convolutionalneuraloperator ⭐ 52

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

Wobtoolbox ⭐ 37

Author's implementation of SIGGRAPH 2023 paper, "A Practical Walk-on-Boundary Method for Boundary Value Problems"

🔍 finite element analysis for continuum mechanics of solid bodies

Modern C++17 finite element method and shape optimization framework.

This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495

Gpt Pinn ⭐ 22

Generative Pre-Trained Physics-Informed Neural Networks Implementation

DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations

Skeelberzins.jl ⭐ 13

Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and using an API similar to MATLAB's pdepe

Pde Vae Pytorch ⭐ 11

PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

Adapode.jl ⭐ 10

Adaptive P/ODE numerical solvers with Grassmann element TensorField assembly

A Fortran implementation of high-resolution WENO schemes for hyperbolic conservation equations

Virtualelementmethods ⭐ 8

A Python implementation of the paper "The virtual element method in 50 lines of MATLAB" by Oliver J. Sutton

A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms and non-conservative components.

1-22 of 22 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.