Alternatives and similar repositories for learning_vortex_dynamics_code

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

• dc3042 / CROM_offline_training
  ☆24Updated 2 years ago
• peterchencyc / CROM_online_deployment
  ☆15Updated 2 years ago
• erizmr / Learn-to-Estimate-Fluid-Motion
  [ICML 2022] Learning to Estimate and Refine Fluid Motion with Physical Dynamics
  ☆23Updated 2 years ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆66Updated last year
• thuml / HelmFluid
  About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…
  ☆19Updated 11 months ago
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆24Updated 7 months ago
• thu-ml / NUNO
  [ICML 2023] Non-Uniform Neural Operator (NUNO)
  ☆25Updated last year
• Eydcao / BSMS-GNN
  ☆57Updated 10 months ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆54Updated last year
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆44Updated last year
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆86Updated 6 months ago
• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆24Updated 4 months ago
• PredictiveIntelligenceLab / cvit
  ☆40Updated 4 months ago
• HaoZhongkai / GNOT
  ☆43Updated last year
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆28Updated 6 months ago
• LouisSerrano / coral
  ☆32Updated 11 months ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆26Updated last year
• vc-bonn / Teaching_Incompressible_Fluid_Dynamics_to_3D_CNNs
  ☆59Updated 3 months ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆43Updated last week
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆64Updated last year
• sjunhongshen / UnifiedPDESolvers
  ☆21Updated last year
• vivekoommen / NeuralOperator_DiffusionModel
  ☆38Updated 3 months ago
• LouisSerrano / aroma
  ☆18Updated 8 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆20Updated 3 weeks ago
• optray / MCNP
  This repository contains the code for the paper: Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation (IEEE T…
  ☆21Updated 3 months 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
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆36Updated 5 months ago
• AI4Science-WestlakeU / wdno
  [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆35Updated 2 weeks ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆46Updated last year
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆28Updated last year