tumaer / neuralsphLinks
Neural SPH
☆39Updated last month
Alternatives and similar repositories for neuralsph
Users that are interested in neuralsph are comparing it to the libraries listed below
Sorting:
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆66Updated last year
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆29Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆42Updated last year
- ☆15Updated 2 years ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆31Updated last month
- ☆24Updated 2 years ago
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆59Updated last year
- [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.☆22Updated 7 months ago
- ☆64Updated last year
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆76Updated 2 months ago
- Main repo for GIOROM☆17Updated 3 months ago
- MeshGraphNets (MGN)☆70Updated 2 years ago
- [NeurIPS 2024 Spotlight] Towards Universal Mesh Movement Networks☆19Updated 5 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- Code repo for Fluid Graph Network☆26Updated 3 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- Code for the paper Universal Physics Transformers☆147Updated 6 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Updated 7 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 10 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆35Updated last year
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆48Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- ☆37Updated 5 months ago
- ☆55Updated 3 years ago
- Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…☆31Updated 2 weeks ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆141Updated last year
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆68Updated 2 months ago
- Official implementation of Diffusion Graph Networks (DGNs)☆76Updated 9 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Updated last year
- ☆42Updated last month