ml-jku / GINNs-Geometry-informed-Neural-NetworksLinks
☆175Updated 2 months ago
Alternatives and similar repositories for GINNs-Geometry-informed-Neural-Networks
Users that are interested in GINNs-Geometry-informed-Neural-Networks are comparing it to the libraries listed below
Sorting:
- ☆104Updated 2 months ago
- Code for the paper Universal Physics Transformers☆128Updated 2 months ago
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆44Updated 10 months ago
- TorchFSM: Fourier Spectral Method with PyTorch☆48Updated last week
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆172Updated 9 months ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆101Updated 2 months ago
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆25Updated 7 months ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆65Updated 8 months ago
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆49Updated 4 months ago
- MeshGraphNets (MGN)☆67Updated last year
- ☆207Updated 7 months ago
- Official implementation of Diffusion Graph Networks (DGNs)☆68Updated 6 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆75Updated 8 months ago
- Code for Lie Symmetries SSL paper☆24Updated last year
- Code, technical details and links to datasets and trained models for TopoDiff☆46Updated last year
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆392Updated last month
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆65Updated 3 months ago
- JAX-DIPS is a differentiable interfacial PDE solver.☆46Updated last year
- Graph Network Simulator☆180Updated 5 months ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆84Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆81Updated 3 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Patched Attention for Nonlinear Dynamics☆156Updated this week
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆15Updated last year
- Neural SPH☆35Updated last year
- ☆90Updated 5 months ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆40Updated last year
- Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate☆52Updated 4 years ago
- ☆270Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year