karlotness / nn-benchmark
An extensible benchmark suite to evaluate data-driven physical simulation
☆24Updated 2 years ago
Related projects: ⓘ
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆29Updated 4 years ago
- ☆14Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated last year
- ☆21Updated last year
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆18Updated 5 years ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆48Updated 3 weeks ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆66Updated 3 months ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆35Updated 3 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆22Updated 10 months ago
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆47Updated 4 months ago
- Source code for the ICLR'22 paper on "Half-Inverse Gradients"☆17Updated 2 years ago
- Differentiable Spline Approximations☆10Updated last year
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆55Updated 2 months ago
- Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow☆23Updated 2 years ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆16Updated last month
- Differentiable interface to FEniCS for JAX☆49Updated 3 years ago
- Scale-invariant Learning by Physics Inversion (NeurIPS 2022)☆10Updated last year
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆18Updated 7 months ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆36Updated 7 months ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆17Updated 2 years ago
- ☆11Updated 3 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆20Updated last year
- ☆33Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆39Updated 2 weeks ago
- ☆15Updated 4 years ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆18Updated last year
- generative neural network trained with physics knowledge☆14Updated 3 years ago
- A shape optimisation toolbox built on the Firedrake finite element library.☆26Updated last week
- JAX-DIPS is a differentiable interfacial PDE solver.☆41Updated last week
- ☆10Updated 2 years ago