ml-jku / GINNs-Geometry-informed-Neural-Networks
☆161Updated 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
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆348Updated this week
- Code for the paper Universal Physics Transformers☆111Updated 2 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆63Updated 3 months ago
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆162Updated 5 months ago
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆44Updated 6 months ago
- TorchFSM: Fourier Spectral Method with PyTorch☆33Updated this week
- Auto-differentiable and hardware-accelerated force density method☆88Updated 2 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆69Updated 5 months ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆59Updated last month
- JAX-DIPS is a differentiable interfacial PDE solver.☆41Updated 7 months ago
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆23Updated 3 months ago
- MeshGraphNets (MGN)☆62Updated last year
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆63Updated 4 months ago
- ☆84Updated last month
- Official implementation of Diffusion Graph Networks (DGNs)☆40Updated last month
- Visualizations of the theory behind diffusion models.☆188Updated last year
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆41Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆139Updated last month
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆84Updated 4 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated 11 months ago
- ☆256Updated 7 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year
- Implementation of Physics-Informed Diffusion Models☆75Updated 2 months ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆80Updated 11 months ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆63Updated 6 months ago
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆124Updated last week
- [ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method☆55Updated this week
- ☆61Updated 5 months ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆24Updated 9 months ago
- Code, technical details and links to datasets and trained models for TopoDiff☆39Updated last year