Alternatives and similar repositories for fluxgnn-icml2024

Users that are interested in fluxgnn-icml2024 are comparing it to the libraries listed below

• nickmcgreivy / WeakBaselinesMLPDE
  ☆29Updated last year
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆69Updated last month
• 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…
  ☆57Updated 11 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆25Updated 6 months ago
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆42Updated 3 years ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 10 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆48Updated 9 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆53Updated last year
• ncsa / GeomDeepONet
  A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…
  ☆23Updated last year
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆36Updated last month
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆19Updated 2 months ago
• camlab-ethz / GAOT
  [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains
  ☆68Updated 2 months ago
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆35Updated last year
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆101Updated last year
• yellowshippo / penn-neurips2022
  PENN code for NeurIPS 2022
  ☆42Updated 2 years ago
• LouisSerrano / coral
  ☆38Updated last year
• BaratiLab / ROMER
  Reduced-Order Modeling of Fluid Flows with Transformers
  ☆24Updated 2 years ago
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆17Updated last year
• mario-linov / graphs4cfd
  Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)
  ☆48Updated last year
• liu-ziyuan-math / SPFNO
  ☆13Updated 2 years ago
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆92Updated last month
• somdattagoswami / Approximating-StiffKinetics
  ☆12Updated last year
• sheadan / DeepGreen
  DeepGreen network written in Tensorflow 2
  ☆30Updated 4 years ago
• anthonyzhou-1 / ldm_pdes
  ☆37Updated 5 months ago
• bfly123 / PINN_WE
  Discontinuity Computing Using Physics-Informed Neural Network
  ☆26Updated last year
• lu-group / multifidelity-deeponet
  Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…
  ☆37Updated 2 years ago
• camlab-ethz / rigno
  Graph-based operator learning in arbitrary geometries
  ☆33Updated last week
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆59Updated 7 months ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 3 years ago
• Jianxun-Wang / graphGalerkin
  Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
  ☆59Updated 3 years ago