Alternatives and similar repositories for Subspace-Graph-Physics

Users that are interested in Subspace-Graph-Physics are comparing it to the libraries listed below

• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆54Updated last year
• BaratiLab / FGN
  Code repo for Fluid Graph Network
  ☆25Updated 3 years ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆64Updated last year
• peterchencyc / CROM_online_deployment
  ☆14Updated 2 years ago
• BaratiLab / MeshDQN
  Using deep reinforcement learning for refining meshes in computational fluid dynamics
  ☆26Updated last year
• Denver-Pilphis / taichi_dem
  A minimal DEM simulation demo written in Taichi.
  ☆27Updated last year
• wwMark / meshgraphnets
  Rewrite deepmind/meshgraphnets into pytorch
  ☆86Updated 3 years ago
• Eydcao / BSMS-GNN
  ☆55Updated 9 months ago
• dc3042 / CROM_offline_training
  ☆23Updated 2 years ago
• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆33Updated 5 years ago
• y-sq / neural_proj
  ☆18Updated 4 years ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆40Updated last year
• xjwxjw / Pytorch-Learned-Cloth-Simulation
  Reimplementation of Learning Mesh-based Simulation With Graph Networks
  ☆45Updated 4 years ago
• gizemdal / MPM-Taichi
  3-D elastic material simulation with Taichi using the Material Point Method (MPM)
  ☆38Updated 4 years ago
• haeriamin / MPM-NGF
  Material Point Method with Nonlocal Granular Fluidity
  ☆26Updated 3 years ago
• taehoon-yoon / SPH-Fluid-Simulation
  Smoothed Particle Hydrodynamics implementation with Python
  ☆28Updated 2 years ago
• awesome-physics / awesome-neural-physics
  ☆21Updated 9 months ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆38Updated 2 years ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 3 years ago
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆43Updated last year
• geoelements / diffmpm
  Differentiable Material Point Method
  ☆33Updated last year
• kks32 / learning_to_simulate
  ☆15Updated 3 years ago
• tumaer / neuralsph
  Neural SPH
  ☆31Updated 10 months ago
• geoelements / gns
  Graph Network Simulator
  ☆169Updated last month
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆26Updated last year
• sebastkm / hybrid-fem-nn
  ☆30Updated 2 years ago
• Zhijie-YU / MLS_MPM_CPIC
  CPIC cases implemented with taichi.
  ☆54Updated 4 years ago
• JonasZehn / ntopo
  A Mesh-free Topology Optimization Method using Neural Representations
  ☆32Updated 3 years ago
• lawsonfulton / AutoDef
  Code for paper: Latent-space Dynamics for Reduced Deformable Simulation
  ☆36Updated 6 years ago
• mojtabamozaffar / differentiable-simulation-am
  An optimization tool for additive manufacturing using automatic differentiation
  ☆56Updated 3 years ago