brandstetter-johannes / LPSDALinks
Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
☆55Updated 2 years ago
Alternatives and similar repositories for LPSDA
Users that are interested in LPSDA are comparing it to the libraries listed below
Sorting:
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 3 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 3 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆19Updated last year
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆16Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- Solving Inverse Physics Problems with Score Matching☆31Updated 2 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆66Updated 11 months ago
- Spectral Neural Operator☆78Updated last year
- ☆35Updated 2 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆53Updated last week
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆90Updated last month
- ☆35Updated 2 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆49Updated 2 years ago
- ☆39Updated 3 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆29Updated 6 months ago
- Code for the paper Universal Physics Transformers☆146Updated 5 months ago
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆29Updated last week
- ☆23Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆81Updated 7 months ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Updated last year
- Repo to the paper "Message Passing Neural PDE Solvers"☆140Updated last year
- ☆278Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆70Updated 6 months ago
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆181Updated last year
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 4 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆162Updated 8 months ago
- Code of ICML paper arxiv.org/abs/2302.08105☆14Updated 2 years ago
- ☆22Updated last year