Alternatives and similar repositories for pdeformer-2:

Users that are interested in pdeformer-2 are comparing it to the libraries listed below

• BaratiLab / OFormer
  ☆72Updated 7 months ago
• LouisSerrano / coral
  ☆29Updated 8 months ago
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆26Updated 4 months ago
• mroberto166 / nio
  ☆31Updated last year
• HaoZhongkai / GNOT
  ☆41Updated last year
• thu-ml / GNOT
  ☆70Updated last year
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆47Updated 10 months ago
• thuml / Transolver
  About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…
  ☆151Updated last week
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆185Updated 4 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆41Updated last year
• nickmcgreivy / WeakBaselinesMLPDE
  ☆25Updated 9 months ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆53Updated 10 months ago
• PredictiveIntelligenceLab / cvit
  ☆29Updated last month
• Litianyu141 / Gen-FVGN-steady
  A GNN-based PDE solver without pre-computed data
  ☆26Updated last month
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆166Updated 6 months ago
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆33Updated 2 years ago
• liaoyulei / DeepNitscheMethod
  Code for "Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions"
  ☆16Updated 2 years ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆24Updated last year
• 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
  ☆19Updated 11 months ago
• Litianyu141 / Finite-Volume-Graph-Network
  Modified Meshgraphnets with more features
  ☆40Updated 2 months ago
• ehsankharazmi / hp-VPINNs
  hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations
  ☆77Updated 2 years ago
• cmudrc / MegaFlow2D
  The MegaFlow2D dataset package
  ☆19Updated last year
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆23Updated 2 weeks ago
• ASK-Berkeley / Neural-Spectral-Methods
  [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
  ☆39Updated last year
• scaomath / torch-cfd
  Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆30Updated 4 months ago
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆46Updated 9 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆49Updated last month
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆139Updated last week
• optray / PIANO
  This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…
  ☆11Updated last year