Alternatives and similar repositories for cond-diffusion-operators-edm

Users that are interested in cond-diffusion-operators-edm are comparing it to the libraries listed below

• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆17Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆52Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆21Updated 4 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆46Updated 6 months ago
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆29Updated 10 months ago
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆31Updated 11 months ago
• Zhengyu-Huang / Operator-Learning
  ☆44Updated 2 years ago
• AI4Science-WestlakeU / M2PDE
  [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.
  ☆20Updated 4 months ago
• PredictiveIntelligenceLab / LOCA
  ☆15Updated last year
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆26Updated 10 months ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 7 months ago
• delta-lab-ai / pde-controller
  ☆23Updated 3 months ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• PredictiveIntelligenceLab / NOMAD
  ☆15Updated last year
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆26Updated 11 months ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆36Updated 6 months ago
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆14Updated 3 years ago
• liu-ziyuan-math / spectral_operator_learning
  Here you find the Spectral Operator Learning Under construcTION
  ☆20Updated last year
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆16Updated last year
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆22Updated last year
• LouisSerrano / coral
  ☆32Updated last year
• HaoZhongkai / GNOT
  ☆52Updated 2 years ago
• fishmoon1234 / Nonlocal-Attention-Operator
  Attention mechanism-based neural operator models to solve both forward and inverse problems.
  ☆16Updated 4 months ago
• anthonyzhou-1 / ldm_pdes
  ☆33Updated 2 months ago
• Edward-Sun / TSM-PDE
  Code of ICML paper arxiv.org/abs/2302.08105
  ☆14Updated 2 years ago
• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆11Updated last month
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• BaratiLab / OFormer
  ☆85Updated last year
• 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 6 years ago