A differentiable PDE solving framework for machine learning
-
Updated
Jan 24, 2025 - Python
A differentiable PDE solving framework for machine learning
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.
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
2D-Finite Element Analysis with Python
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
Deep learning library for solving differential equations on top of PyTorch.
JAX-DIPS is a differentiable interfacial PDE solver.
Python script solving the wave equation (équations de D'Alembert) 1D and 2D by taking into account velocity variation.
Codomain attention neural operator for single to multi-physics PDE adaptation.
PENN code for NeurIPS 2022
This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
A library for building finite difference simulations
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
Solving High Dimensional Partial Differential Equations with Deep Neural Networks
Official implementation of Scalable Transformer for PDE surrogate modelling
Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia, Rust and Matlab
A machine learning boosted parallel-in-time differential equation solver framework.
Finite volume toolbox in Python
Add a description, image, and links to the pde-solver topic page so that developers can more easily learn about it.
To associate your repository with the pde-solver topic, visit your repo's landing page and select "manage topics."