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
• tumaer / neuralsph
  Neural SPH
  ☆39Updated last month
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆29Updated last year
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆47Updated 2 years ago
• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆31Updated last month
• dc3042 / CROM_offline_training
  ☆24Updated 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
  ☆42Updated last year
• anthonyzhou-1 / ldm_pdes
  ☆37Updated 6 months ago
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆26Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
  ☆73Updated last year
• AI4Science-WestlakeU / wdno
  [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆53Updated 4 months ago
• yitongdeng-projects / learning_vortex_dynamics_code
  Code for paper: Learning Vortex Dynamics for Fluid Inference and Prediction (ICLR 2023)
  ☆20Updated 2 years ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆59Updated last year
• atzberg / geo_neural_op
  Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…
  ☆31Updated 3 weeks ago
• tumaer / sph-hae
  [GSI 2023] Learning Lagrangian Fluid Mechanics with E(3)-Equivariant GNNs
  ☆15Updated last year
• LouisSerrano / aroma
  ☆23Updated 5 months ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆70Updated 2 years ago
• Peiyannn / MM-PDE
  [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers
  ☆17Updated last year
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆72Updated 7 months ago
• Eydcao / BSMS-GNN
  ☆67Updated last year
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆37Updated 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
• Mohamedelrefaie / TransonicSurrogate
  Surrogate Modeling of the Aerodynamic Performance for Transonic Regime
  ☆12Updated last year
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆148Updated 6 months ago
• mesh-adaptation / UM2N
  [NeurIPS 2024 Spotlight] Towards Universal Mesh Movement Networks
  ☆19Updated 5 months ago
• delta-lab-ai / pde-controller
  ☆25Updated 6 months ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆66Updated last year
• yuexihang / HPM
  Code for Point-Calibrated Spectral Neural Operators
  ☆21Updated last year
• InternScience / Intern-WingWing
  [NeurIPS 2024] AFBench: A Large-scale Benchmark for Airfoil Design
  ☆30Updated last year
• Pranav-Jain / Neural-Monte-Carlo-Fluid-Simulation
  ☆47Updated last year