geoelements / gns

Related projects ⓘ

Alternatives and complementary repositories for gns

• wwMark / meshgraphnets
  Rewrite deepmind/meshgraphnets into pytorch
  ☆75Updated 2 years ago
• echowve / meshGraphNets_pytorch
  PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
  ☆152Updated 2 years ago
• wu375 / simple-physics-simulator-pytorch-geometry
  Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate
  ☆48Updated 3 years ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆60Updated last year
• Eydcao / BSMS-GNN
  ☆48Updated 3 months ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆126Updated 2 months ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆58Updated 4 months ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆49Updated 6 months ago
• vc-bonn / Unsupervised_Deep_Learning_of_Incompressible_Fluid_Dynamics
  ☆92Updated last year
• BaratiLab / FGN
  Code repo for Fluid Graph Network
  ☆22Updated 2 years ago
• Mohamedelrefaie / DrivAerNet
  A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
  ☆138Updated this week
• vc-bonn / Teaching_Incompressible_Fluid_Dynamics_to_3D_CNNs
  ☆50Updated last year
• francoismaze / topodiff
  Code, technical details and links to datasets and trained models for TopoDiff
  ☆37Updated last year
• locuslab / cfd-gcn
  ☆118Updated last year
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆37Updated 9 months ago
• JonasZehn / ntopo
  A Mesh-free Topology Optimization Method using Neural Representations
  ☆29Updated 3 years ago
• Yihao-Shi / GeoTaichi
  A Taichi-powered high-performance numerical simulator for multiscale and multifield geophysical problems
  ☆94Updated 3 months ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆184Updated last year
• geoelements / diffmpm
  Differentiable Material Point Method
  ☆29Updated last year
• isl-org / DeepLagrangianFluids
  Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.
  ☆212Updated 3 months ago
• haeriamin / MPM-NGF
  Material Point Method with Nonlocal Granular Fluidity
  ☆25Updated 2 years ago
• yellowshippo / penn-neurips2022
  PENN code for NeurIPS 2022
  ☆37Updated last year
• gizemdal / MPM-Taichi
  3-D elastic material simulation with Taichi using the Material Point Method (MPM)
  ☆36Updated 3 years ago
• sebastkm / hybrid-fem-nn
  ☆27Updated 2 years ago
• thuml / Transolver
  About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…
  ☆89Updated last month
• tum-pbs / Solver-in-the-Loop
  Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
  ☆146Updated 2 years ago
• quercushernandez / ThermodynamicsGNN
  Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).
  ☆95Updated 2 months ago
• Jianxun-Wang / graphGalerkin
  Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
  ☆47Updated 2 years ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆22Updated 9 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆104Updated last month