Alternatives and similar repositories for NeuralOperator_DiffusionModel

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

• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆52Updated last year
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆99Updated 9 months ago
• anthonyzhou-1 / ldm_pdes
  ☆33Updated 2 months ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆36Updated 6 months ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆62Updated 3 months ago
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆22Updated last year
• BaratiLab / OFormer
  ☆85Updated last year
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 7 months ago
• HaoZhongkai / GNOT
  ☆52Updated 2 years ago
• thu-ml / GNOT
  ☆82Updated 2 years ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated last year
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆67Updated 4 months ago
• LouisSerrano / coral
  ☆32Updated last year
• PredictiveIntelligenceLab / cvit
  ☆50Updated 2 months ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆20Updated last year
• camlab-ethz / rigno
  Graph-based operator learning in arbitrary geometries
  ☆25Updated 6 months ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆61Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆20Updated 4 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆69Updated 5 months ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 2 years ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆27Updated last year
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆44Updated last month
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆30Updated 11 months ago
• Extrality / AirfRANS
  In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…
  ☆57Updated 8 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆155Updated 5 months ago
• erichson / SuperBench
  ☆50Updated last year
• csccm-iitd / WNO
  ☆60Updated last month
• Zhengyu-Huang / Operator-Learning
  ☆44Updated 2 years ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆75Updated 5 months ago