Alternatives and similar repositories for gns:

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

• wu375 / simple-physics-simulator-pytorch-geometry
  Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate
  ☆51Updated 3 years ago
• echowve / meshGraphNets_pytorch
  PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
  ☆167Updated 2 years ago
• wwMark / meshgraphnets
  Rewrite deepmind/meshgraphnets into pytorch
  ☆79Updated 3 years ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆61Updated last year
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆127Updated 5 months ago
• Eydcao / BSMS-GNN
  ☆53Updated 6 months ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆49Updated 9 months ago
• vc-bonn / Unsupervised_Deep_Learning_of_Incompressible_Fluid_Dynamics
  ☆94Updated 2 weeks ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆62Updated last month
• isl-org / DeepLagrangianFluids
  Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.
  ☆218Updated 6 months ago
• vc-bonn / Teaching_Incompressible_Fluid_Dynamics_to_3D_CNNs
  ☆55Updated 2 weeks ago
• BaratiLab / FGN
  Code repo for Fluid Graph Network
  ☆23Updated 3 years ago
• kks32 / learning_to_simulate
  ☆15Updated 2 years ago
• locuslab / cfd-gcn
  ☆120Updated last year
• tum-pbs / Solver-in-the-Loop
  Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
  ☆152Updated 2 years ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆82Updated 2 months ago
• Yihao-Shi / GeoTaichi
  A Taichi-powered high-performance numerical simulator for multiscale and multifield geophysical problems
  ☆112Updated last week
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆58Updated last month
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆38Updated last year
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆130Updated 2 months ago
• gizemdal / MPM-Taichi
  3-D elastic material simulation with Taichi using the Material Point Method (MPM)
  ☆37Updated 3 years ago
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆90Updated last week
• yellowshippo / penn-neurips2022
  PENN code for NeurIPS 2022
  ☆39Updated 2 years ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆210Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆56Updated last year
• geoelements / diffmpm
  Differentiable Material Point Method
  ☆31Updated last year
• mario-linov / graphs4cfd
  Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)
  ☆33Updated last year
• haeriamin / MPM-NGF
  Material Point Method with Nonlocal Granular Fluidity
  ☆25Updated 2 years ago
• quercushernandez / ThermodynamicsGNN
  Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).
  ☆95Updated 5 months ago
• thuml / Transolver
  About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…
  ☆121Updated 2 weeks ago