ml-jku / GINNs-Geometry-informed-Neural-NetworksLinks
☆170Updated last week
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:
- TorchFSM: Fourier Spectral Method with PyTorch☆44Updated 2 weeks ago
- Code for the paper Universal Physics Transformers☆116Updated 4 months ago
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆164Updated 6 months ago
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆44Updated 7 months ago
- Code, technical details and links to datasets and trained models for TopoDiff☆41Updated last year
- JAX-DIPS is a differentiable interfacial PDE solver.☆44Updated 9 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆75Updated last month
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆59Updated 2 weeks ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆63Updated 5 months ago
- Official implementation of Diffusion Graph Networks (DGNs)☆55Updated 3 months ago
- Auto-differentiable and hardware-accelerated force density method☆90Updated this week
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆69Updated 5 months ago
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆47Updated last month
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆51Updated 2 years ago
- Patched Attention for Nonlinear Dynamics☆148Updated 3 weeks ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆367Updated last week
- ☆87Updated 2 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆44Updated last year
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆66Updated this week
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆68Updated 7 months ago
- [ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method☆64Updated last month
- ☆194Updated 4 months ago
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆25Updated 4 months ago
- ☆263Updated 9 months ago
- Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate☆52Updated 3 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆86Updated 6 months ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated 10 months ago
- MeshGraphNets (MGN)☆64Updated last year
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆99Updated last month