Alternatives and similar repositories for meshgraphnets:

Users that are interested in meshgraphnets are comparing it to the libraries listed below

• echowve / meshGraphNets_pytorch
  PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
  ☆176Updated 2 years ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆61Updated last year
• Eydcao / BSMS-GNN
  ☆54Updated 7 months ago
• geoelements / gns
  Graph Network Simulator
  ☆156Updated last week
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆51Updated 10 months ago
• JonasZehn / ntopo
  A Mesh-free Topology Optimization Method using Neural Representations
  ☆30Updated 3 years ago
• BaratiLab / FGN
  Code repo for Fluid Graph Network
  ☆25Updated 3 years ago
• wu375 / simple-physics-simulator-pytorch-geometry
  Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate
  ☆52Updated 3 years ago
• haeriamin / Subspace-Graph-Physics
  Subspace Graph Physics
  ☆11Updated 9 months ago
• xjwxjw / Pytorch-Learned-Cloth-Simulation
  Reimplementation of Learning Mesh-based Simulation With Graph Networks
  ☆44Updated 3 years ago
• yellowshippo / penn-neurips2022
  PENN code for NeurIPS 2022
  ☆40Updated 2 years ago
• locuslab / cfd-gcn
  ☆120Updated 2 years ago
• gizemdal / MPM-Taichi
  3-D elastic material simulation with Taichi using the Material Point Method (MPM)
  ☆38Updated 3 years ago
• isl-org / DeepLagrangianFluids
  Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.
  ☆219Updated 7 months ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆132Updated 6 months ago
• vc-bonn / Unsupervised_Deep_Learning_of_Incompressible_Fluid_Dynamics
  ☆94Updated last month
• vc-bonn / Teaching_Incompressible_Fluid_Dynamics_to_3D_CNNs
  ☆56Updated this week
• zhenguonie / stress_net
  Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks
  ☆31Updated 5 years ago
• dc3042 / CROM_offline_training
  ☆22Updated 2 years ago
• BaratiLab / MeshDQN
  Using deep reinforcement learning for refining meshes in computational fluid dynamics
  ☆23Updated last year
• y-sq / neural_proj
  ☆18Updated 3 years ago
• peterchencyc / CROM_online_deployment
  ☆14Updated 2 years ago
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆39Updated last year
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆39Updated last year
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆62Updated 2 months ago
• francoismaze / topodiff
  Code, technical details and links to datasets and trained models for TopoDiff
  ☆38Updated last year
• geoelements / diffmpm
  Differentiable Material Point Method
  ☆32Updated last year
• Jianxun-Wang / graphGalerkin
  Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
  ☆49Updated 3 years ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆24Updated last year
• mojtabamozaffar / differentiable-simulation-am
  An optimization tool for additive manufacturing using automatic differentiation
  ☆54Updated 3 years ago