Alternatives and similar repositories for simple-physics-simulator-pytorch-geometry

Users that are interested in simple-physics-simulator-pytorch-geometry are comparing it to the libraries listed below

• hanjq17 / SGNN
  [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".
  ☆39Updated 3 years ago
• geoelements / gns
  Graph Network Simulator
  ☆192Updated last month
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆70Updated 2 years ago
• wwMark / meshgraphnets
  Rewrite deepmind/meshgraphnets into pytorch
  ☆96Updated 3 years ago
• Eydcao / BSMS-GNN
  ☆61Updated last year
• AI4Science-WestlakeU / CL_DiffPhyCon
  [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency
  ☆27Updated last month
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆140Updated last year
• echowve / meshGraphNets_pytorch
  PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
  ☆208Updated this week
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆42Updated last year
• jlinki / GGNS
  Grounding Graph Network Simulators using Physical Sensor Observations
  ☆12Updated 2 years ago
• gautica / meshgraphnet_pytorch
  ☆16Updated 3 years ago
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆146Updated 5 months ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆66Updated 11 months ago
• AI4Science-WestlakeU / diffphycon
  [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
  ☆44Updated last month
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆39Updated 2 months ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆29Updated last year
• tumaer / neuralsph
  Neural SPH
  ☆38Updated 3 weeks ago
• fxia22 / gn.pytorch
  ☆51Updated 7 years ago
• isl-org / DeepLagrangianFluids
  Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.
  ☆230Updated last year
• francoismaze / topodiff
  Code, technical details and links to datasets and trained models for TopoDiff
  ☆51Updated 2 years ago
• ml-jku / GINNs-Geometry-informed-Neural-Networks
  ☆179Updated last week
• NiklasFreymuth / ASMR
  Adaptive Swarm Mesh Refinement
  ☆21Updated last year
• kaist-silab / awesome-graph-pde
  Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation
  ☆96Updated 3 years ago
• y-sq / neural_proj
  ☆18Updated 4 years ago
• tum-pbs / dgn4cfd
  Official implementation of Diffusion Graph Networks (DGNs)
  ☆74Updated 8 months ago
• dc3042 / CROM_offline_training
  ☆24Updated 2 years ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
  ☆75Updated last year
• Qualcomm-AI-research / geometric-algebra-transformer
  ☆213Updated 10 months ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆59Updated last year
• haeriamin / Subspace-Graph-Physics
  Subspace Graph Physics
  ☆14Updated last year