Alternatives and similar repositories for DiffusionPDE

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

• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆66Updated last year
• AI4Science-WestlakeU / wdno
  [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆54Updated 5 months ago
• BaratiLab / OFormer
  ☆90Updated last year
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆74Updated 8 months ago
• jhbastek / PhysicsInformedDiffusionModels
  Implementation of Physics-Informed Diffusion Models (ICLR 2025)
  ☆189Updated last week
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆106Updated last year
• LouisSerrano / aroma
  ☆23Updated 6 months ago
• PredictiveIntelligenceLab / cvit
  ☆53Updated 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 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 …
  ☆64Updated 3 months ago
• 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…
  ☆217Updated 2 years ago
• thuml / Transolver
  About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…
  ☆263Updated this week
• tum-pbs / dgn4cfd
  Official implementation of Diffusion Graph Networks (DGNs)
  ☆77Updated 10 months ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆16Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆54Updated last year
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆30Updated last year
• thu-ml / GNOT
  ☆86Updated 2 years ago
• lim0606 / ddo
  Official codebase for "Score-based Diffusion Models in Function Space"
  ☆17Updated last year
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated last year
• HaoZhongkai / GNOT
  ☆58Updated 2 years ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆147Updated last year
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆168Updated 10 months ago
• lizhihao2022 / Awesome-AI4PDE
  Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…
  ☆94Updated 10 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆49Updated 10 months ago
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆149Updated 7 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…
  ☆82Updated last year
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆51Updated 5 months ago
• L-I-M-I-T / LatentNeuralOperator
  ☆53Updated 10 months ago
• AI4Science-WestlakeU / diffphycon
  [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
  ☆47Updated 3 months ago