Alternatives and similar repositories for meshgraphnet_pytorch

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

• 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
• jaggbow / magnet
  This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
  ☆37Updated last year
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 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…
  ☆25Updated last year
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆62Updated last year
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆24Updated last year
• kaist-silab / graphsplinenets
  [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"
  ☆16Updated 9 months ago
• tumaer / neuralsph
  Neural SPH
  ☆30Updated 10 months ago
• tum-pbs / dgn4cfd
  Official implementation of Diffusion Graph Networks (DGNs)
  ☆41Updated 2 months ago
• yellowshippo / penn-neurips2022
  PENN code for NeurIPS 2022
  ☆40Updated 2 years ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 10 months ago
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆32Updated last year
• Eydcao / BSMS-GNN
  ☆54Updated 9 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆65Updated last year
• sjunhongshen / UnifiedPDESolvers
  ☆21Updated 11 months ago
• peterchencyc / CROM_online_deployment
  ☆14Updated 2 years ago
• kaist-silab / awesome-graph-pde
  Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation
  ☆96Updated 2 years ago
• hanjq17 / SGNN
  [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".
  ☆35Updated 2 years ago
• computational-imaging / GraphPDE
  ☆50Updated 2 years ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆13Updated 9 months ago
• wwMark / meshgraphnets
  Rewrite deepmind/meshgraphnets into pytorch
  ☆85Updated 3 years ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆39Updated 2 months ago
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated 11 months ago
• sungyongs / dpgn
  Differentiable Physics-informed Graph Networks
  ☆66Updated 5 years ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆49Updated 11 months ago
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆71Updated last month
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• nec-research / CAPE-ML4Sci
  ☆13Updated 8 months ago
• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆22Updated 2 months ago
• Junyoungpark / PGNN
  An official 're'-implementation of Physics-induced graph neural network: An application to wind-farm power estimation (PGNN).
  ☆27Updated 3 years ago