karlotness / nn-benchmark
An extensible benchmark suite to evaluate data-driven physical simulation
☆24Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for nn-benchmark
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆31Updated 4 years ago
- ☆21Updated last year
- ☆14Updated last year
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆18Updated 5 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆36Updated 3 years ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆53Updated 2 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated 6 months ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆23Updated last year
- Scale-invariant Learning by Physics Inversion (NeurIPS 2022)☆10Updated 2 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆58Updated 4 months ago
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆49Updated 6 months ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆54Updated 2 weeks ago
- A shape optimisation toolbox built on the Firedrake finite element library.☆27Updated 3 weeks ago
- ☆11Updated 3 years ago
- MeshGraphNets (MGN)☆60Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆37Updated 9 months ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆12Updated 6 months ago
- ☆34Updated last year
- Differentiable interface to FEniCS for JAX☆50Updated 3 years ago
- ☆34Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆15Updated last month
- Solving Inverse Physics Problems with Score Matching☆21Updated 11 months ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated last year
- This repository contains the code for the paper: Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation☆16Updated 10 months ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆72Updated 2 weeks ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆18Updated 3 months ago
- ☆11Updated last year
- Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023☆36Updated 11 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago