Alternatives and similar repositories for generative-turbulence

Users that are interested in generative-turbulence are comparing it to the libraries listed below

• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆30Updated last year
• dc3042 / CROM_offline_training
  ☆24Updated 2 years ago
• anthonyzhou-1 / ldm_pdes
  ☆33Updated 3 months ago
• tumaer / neuralsph
  Neural SPH
  ☆37Updated last year
• peterchencyc / CROM_online_deployment
  ☆15Updated 2 years ago
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆32Updated last year
• delta-lab-ai / pde-controller
  ☆23Updated 4 months ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆67Updated 9 months ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆39Updated 3 years ago
• LouisSerrano / aroma
  ☆22Updated 3 months ago
• 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 7 years ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆52Updated last year
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆17Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆24Updated 4 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆46Updated 7 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
  ☆74Updated last year
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆41Updated last year
• PredictiveIntelligenceLab / cvit
  ☆51Updated 3 months ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 8 months ago
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆32Updated last year
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆27Updated 11 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆98Updated 10 months ago
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆14Updated 4 years ago
• AI4Science-WestlakeU / wdno
  [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆47Updated last month
• pengwei07 / AeroGTO
  AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
  ☆14Updated 3 months ago
• julesberman / CoLoRA
  ☆12Updated last year
• sebastkm / hybrid-fem-nn
  ☆32Updated 3 years ago
• SmartTURB / diffusion-lagr
  Synthetic Lagrangian Turbulence by Generative Diffusion Models
  ☆26Updated 11 months ago
• camlab-ethz / GAOT
  [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains
  ☆45Updated this week