There are 13 repositories under pde-solver topic.
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
A flexible framework for solving PDEs with modern spectral methods.
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
2D-Finite Element Analysis with Python
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop
Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation
A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
Deep learning library for solving differential equations on top of PyTorch.
2D orthogonal elliptic mesh generator which solves the Winslow partial differential equations
Spectral Element Library in Fortran
Modern C++20 finite element method and shape optimization framework.
Solving Schrodinger Equation Numerically
Python script solving the wave equation (équations de D'Alembert) 1D and 2D by taking into account velocity variation.
PENN code for NeurIPS 2022
Computational Fluid Dynamics Solver
A library for building finite difference simulations
C++/CUDA implementation of the most popular hyperbolic and parabolic PDE solvers
Official implementation of Scalable Transformer for PDE surrogate modelling
A machine learning boosted parallel-in-time differential equation solver framework.
Deterministic particle dynamics for simulating Fokker-Planck probability flows
An intro to DG methods for PDEs
Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia and Matlab
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms