Alternatives and similar repositories for IPOT

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

• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆15Updated 10 months ago
• neuraloperator / cond-diffusion-operators-edm
  ☆17Updated last year
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆25Updated 8 months ago
• sifanexisted / fundiff
  ☆18Updated this week
• L-I-M-I-T / LatentNeuralOperator
  ☆42Updated 3 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆48Updated last year
• zhijie-group / Orthogonal-Neural-operator
  Code for orthogonal neural operator
  ☆17Updated last year
• pengwei07 / AeroGTO
  AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
  ☆14Updated last month
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆28Updated 7 months ago
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆27Updated 8 months ago
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆71Updated 3 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆39Updated 4 months ago
• thu-ml / GNOT
  ☆76Updated 2 years ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 4 months ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆53Updated last year
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆57Updated last year
• delta-lab-ai / pde-controller
  ☆20Updated last month
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆11Updated last year
• anthonyzhou-1 / ldm_pdes
  ☆32Updated last week
• AI4Science-WestlakeU / wdno
  [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆36Updated last month
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆20Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆20Updated last month
• liu-ziyuan-math / spectral_operator_learning
  Here you find the Spectral Operator Learning Under construcTION
  ☆20Updated last year
• PredictiveIntelligenceLab / LOCA
  ☆15Updated last year
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆34Updated 4 months ago
• julesberman / CoLoRA
  ☆12Updated last year
• BaratiLab / OFormer
  ☆81Updated 10 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆54Updated 4 months ago
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆23Updated 7 months ago