Alternatives and similar repositories for awesome-graph-pde

Users that are interested in awesome-graph-pde are comparing it to the libraries listed below

• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆134Updated 8 months ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 3 years ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆52Updated 2 years 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 last year
• yakovlev31 / graphpdes_experiments
  ☆34Updated 4 years ago
• computational-imaging / GraphPDE
  ☆51Updated 2 years ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 11 months ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆40Updated 3 months ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆61Updated 3 years ago
• sungyongs / dpgn
  Differentiable Physics-informed Graph Networks
  ☆66Updated 5 years ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆53Updated 3 months ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆45Updated 2 years ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆63Updated 5 months ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆26Updated 2 months ago
• kaist-silab / graphsplinenets
  [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"
  ☆16Updated 10 months ago
• yellowshippo / penn-neurips2022
  PENN code for NeurIPS 2022
  ☆41Updated 2 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
• tum-pbs / dgn4cfd
  Official implementation of Diffusion Graph Networks (DGNs)
  ☆50Updated 2 months ago
• yakovlev31 / graphpdes
  ☆14Updated 4 years 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
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆65Updated last year
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆140Updated last year
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆50Updated 2 years ago
• yuan-yin / APHYNITY
  Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
  ☆46Updated last year
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆14Updated 10 months ago
• thuml / Neural-Solver-Library
  A Library for Advanced Neural PDE Solvers.
  ☆139Updated last week
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆113Updated 3 months ago
• locuslab / cfd-gcn
  ☆125Updated 2 years ago
• FerranAlet / graph_element_networks
  ☆56Updated 2 years ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆44Updated last year