DiffEqML / pde-dataset-generator
A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
☆37Updated 3 years ago
Alternatives and similar repositories for pde-dataset-generator
Users that are interested in pde-dataset-generator are comparing it to the libraries listed below
Sorting:
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated 11 months ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆39Updated last year
- ☆50Updated 2 years ago
- ☆28Updated last year
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆63Updated 4 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated last year
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Updated 9 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Official implementation of Diffusion Graph Networks (DGNs)☆41Updated last month
- ☆23Updated 2 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆70Updated 6 months ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Updated 9 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆133Updated 8 months ago
- ☆54Updated 9 months ago
- ☆34Updated 4 years ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆63Updated 3 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆65Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆64Updated 6 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆38Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆77Updated 3 weeks ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆52Updated 2 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆32Updated 5 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated last year
- Spectral Neural Operator☆78Updated last year
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆13Updated 9 months ago
- ☆41Updated 2 years ago
- MeshGraphNets (MGN)☆62Updated last year
- ☆14Updated 2 years ago
- PENN code for NeurIPS 2022☆40Updated 2 years ago
- Neural SPH☆30Updated 10 months ago