Alternatives and similar repositories for cfd-gcn

Users that are interested in cfd-gcn are comparing it to the libraries listed below

• vc-bonn / Unsupervised_Deep_Learning_of_Incompressible_Fluid_Dynamics
  ☆97Updated 6 months ago
• Extrality / AirfRANS
  In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…
  ☆56Updated 7 months ago
• vc-bonn / Teaching_Incompressible_Fluid_Dynamics_to_3D_CNNs
  ☆61Updated 5 months ago
• Rose-STL-Lab / Turbulent-Flow-Net
  Turbulent flow network source code
  ☆70Updated 5 months ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆38Updated 2 years ago
• vc-bonn / Spline_PINN
  ☆112Updated 6 months ago
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆101Updated 4 years ago
• cics-nd / ar-pde-cnn
  Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
  ☆93Updated 3 years ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆65Updated 7 months ago
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆150Updated 5 years ago
• Jianxun-Wang / graphGalerkin
  Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
  ☆56Updated 3 years ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆46Updated 2 years ago
• computational-imaging / GraphPDE
  ☆52Updated 3 years ago
• tum-pbs / Solver-in-the-Loop
  Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
  ☆161Updated 2 years ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆66Updated last year
• Jianxun-Wang / phygeonet
  PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain
  ☆87Updated 4 years ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆28Updated last year
• yakovlev31 / graphpdes_experiments
  ☆35Updated 4 years ago
• BaratiLab / FGN
  Code repo for Fluid Graph Network
  ☆25Updated 3 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
• alasdairtran / fourierflow
  [ICLR 2023] Factorized Fourier Neural Operators
  ☆173Updated last year
• jcallaham / robust-flow-reconstruction
  Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…
  ☆14Updated 6 years ago
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆27Updated 2 years ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆57Updated 6 months ago
• sungyongs / dpgn
  Differentiable Physics-informed Graph Networks
  ☆67Updated 5 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆73Updated 2 years ago
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆27Updated last year
• sebastkm / hybrid-fem-nn
  ☆31Updated 3 years ago
• HPCForge / BubbleML
  A multiphase multiphysics dataset and benchmarks for scientific machine learning
  ☆34Updated last year
• LouisSerrano / coral
  ☆32Updated last year