Alternatives and similar repositories for fourierflow:

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

• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆204Updated last year
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆146Updated 3 months ago
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆112Updated 2 years ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆121Updated last month
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆127Updated 3 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆128Updated 2 years ago
• thu-ml / GNOT
  ☆66Updated last year
• neuraloperator / physics_informed
  ☆398Updated 11 months ago
• ashiq24 / UNO
  ☆54Updated 9 months ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆256Updated last year
• BaratiLab / OFormer
  ☆64Updated 4 months ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆126Updated 4 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆44Updated last month
• VLSF / SNO
  Spectral Neural Operator
  ☆75Updated last year
• AdityaLab / pinnsformer
  ☆103Updated 3 months ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆41Updated 7 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆81Updated last month
• PredictiveIntelligenceLab / CausalPINNs
  ☆155Updated 11 months ago
• scaomath / galerkin-transformer
  [NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
  ☆229Updated 7 months ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆47Updated 7 months ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆370Updated last year
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆187Updated 3 years ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆39Updated last year
• pdearena / pdearena
  ☆239Updated 4 months ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆88Updated 3 years ago
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆122Updated 3 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/…
  ☆112Updated last week
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆68Updated 10 months ago
• LouisSerrano / coral
  ☆27Updated 6 months ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆136Updated 8 months ago