Alternatives and similar repositories for autoreg-pde-diffusion

Users that are interested in autoreg-pde-diffusion are comparing it to the libraries listed below

• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆63Updated 4 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆159Updated 7 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆47Updated 8 months ago
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆195Updated 6 months ago
• tum-pbs / Diffusion-based-Flow-Prediction
  Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…
  ☆80Updated last year
• BaratiLab / OFormer
  ☆87Updated last year
• PredictiveIntelligenceLab / cvit
  ☆53Updated 3 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆75Updated 6 months ago
• thu-ml / GNOT
  ☆83Updated 2 years ago
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆69Updated 5 months 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…
  ☆88Updated last week
• HaoZhongkai / GNOT
  ☆54Updated 2 years ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆65Updated last year
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆141Updated 3 years ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆53Updated last year
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆49Updated 2 years ago
• csccm-iitd / WNO
  ☆62Updated 3 months ago
• camlab-ethz / GAOT
  [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains
  ☆63Updated 3 weeks ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 8 months ago
• anthonyzhou-1 / ldm_pdes
  ☆37Updated 4 months ago
• LouisSerrano / coral
  ☆35Updated last year
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆46Updated 3 months ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated last year
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆24Updated last year
• Hrrsmjd / fourier_neural_operator
  Fourier Neural Operator
  ☆12Updated 2 years ago
• erichson / SuperBench
  ☆52Updated last year
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆20Updated last month
• BaratiLab / Diffusion-based-Fluid-Super-resolution
  PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…
  ☆214Updated 2 years ago
• tum-pbs / pde-transformer
  PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …
  ☆56Updated 3 weeks ago