Alternatives and similar repositories for spectral_operator_learning

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

• nickmcgreivy / WeakBaselinesMLPDE
  ☆26Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆47Updated last year
• VLSF / SNO
  Spectral Neural Operator
  ☆79Updated last year
• BaratiLab / OFormer
  ☆81Updated 10 months ago
• Edward-Sun / TSM-PDE
  Code of ICML paper arxiv.org/abs/2302.08105
  ☆14Updated 2 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆39Updated 4 months ago
• liu-ziyuan-math / SPFNO
  ☆12Updated last year
• thu-ml / GNOT
  ☆76Updated last year
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆44Updated 2 weeks ago
• Zhengyu-Huang / Operator-Learning
  ☆42Updated 2 years ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆20Updated last year
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 4 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆20Updated last month
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆20Updated last year
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆34Updated 4 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…
  ☆76Updated last month
• HaoZhongkai / GNOT
  ☆45Updated 2 years ago
• ASK-Berkeley / Neural-Spectral-Methods
  [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
  ☆45Updated last year
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆27Updated 8 months ago
• anthonyzhou-1 / ldm_pdes
  ☆31Updated last week
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆90Updated 7 months ago
• erichson / SuperBench
  ☆49Updated 9 months ago
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆34Updated 2 years ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 2 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆40Updated last year
• neuraloperator / cond-diffusion-operators-edm
  ☆17Updated last year
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆53Updated last year
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆179Updated 2 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆145Updated 3 months ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆66Updated last year