Alternatives and similar repositories for opt_for_pinns

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

• thu-ml / GNOT
  ☆85Updated 2 years ago
• BaratiLab / OFormer
  ☆89Updated last year
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆199Updated 2 weeks ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆53Updated last year
• csccm-iitd / WNO
  ☆65Updated 3 months ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 3 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆158Updated 3 years ago
• mroberto166 / nio
  ☆38Updated 2 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆145Updated 4 years ago
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆58Updated 6 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆75Updated 7 months ago
• HaoZhongkai / GNOT
  ☆56Updated 2 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆105Updated 4 years ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆66Updated 2 weeks ago
• alasdairtran / fourierflow
  [ICLR 2023] Factorized Fourier Neural Operators
  ☆181Updated 2 years ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆162Updated 8 months ago
• LouisSerrano / coral
  ☆36Updated last year
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆100Updated 11 months ago
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆28Updated 2 years ago
• optray / PIANO
  This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…
  ☆13Updated last year
• PredictiveIntelligenceLab / CausalPINNs
  ☆183Updated last year
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆66Updated last year
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆25Updated 6 months ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆49Updated 2 years ago
• lmandl / separable-PI-DeepONet
  Separabale Physics-Informed DeepONets in JAX
  ☆16Updated last year
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆47Updated 3 months ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆19Updated last month
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆39Updated 3 years ago