Alternatives and similar repositories for GIOROM

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

• peterchencyc / CROM_online_deployment
  ☆15Updated 2 years ago
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆47Updated 2 years ago
• dc3042 / CROM_offline_training
  ☆24Updated 2 years ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆29Updated 2 years ago
• tumaer / neuralsph
  Neural SPH
  ☆41Updated 2 months ago
• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆32Updated last month
• anthonyzhou-1 / ldm_pdes
  ☆36Updated 6 months ago
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆26Updated last year
• AI4Science-WestlakeU / wdno
  [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆55Updated 4 months ago
• Peiyannn / MM-PDE
  [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers
  ☆17Updated last year
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆60Updated last year
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆42Updated 2 years ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
  ☆73Updated 2 years ago
• yitongdeng-projects / learning_vortex_dynamics_code
  Code for paper: Learning Vortex Dynamics for Fluid Inference and Prediction (ICLR 2023)
  ☆20Updated 2 years ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆71Updated 2 years ago
• atzberg / geo_neural_op
  Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…
  ☆31Updated last month
• Eydcao / BSMS-GNN
  ☆69Updated last year
• LouisSerrano / aroma
  ☆23Updated 6 months ago
• yuexihang / HPM
  Code for Point-Calibrated Spectral Neural Operators
  ☆21Updated last year
• tumaer / sph-hae
  [GSI 2023] Learning Lagrangian Fluid Mechanics with E(3)-Equivariant GNNs
  ☆15Updated last year
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆19Updated last year
• tum-pbs / StableBPTT
  The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"
  ☆11Updated last year
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆39Updated 3 months ago
• jangseop-park / Point-DeepONet
  ☆26Updated last week
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆75Updated 7 months ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆67Updated last year
• NamGyuKang / PIXEL
  [AAAI 2023] Physics-Informed Cell Representations
  ☆36Updated 2 months ago
• julesberman / CoLoRA
  ☆13Updated last year
• Mohamedelrefaie / TransonicSurrogate
  Surrogate Modeling of the Aerodynamic Performance for Transonic Regime
  ☆12Updated last year
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆30Updated last year