Alternatives and similar repositories for Parameterized-Physics-informed-Neural-Networks:

Users that are interested in Parameterized-Physics-informed-Neural-Networks are comparing it to the libraries listed below

• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆26Updated 4 months ago
• PredictiveIntelligenceLab / cvit
  ☆29Updated 2 months ago
• BaratiLab / OFormer
  ☆73Updated 7 months ago
• TapasTripura / Wavelet-Neural-Operator-for-pdes
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆26Updated 3 months ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated 10 months ago
• L-I-M-I-T / LatentNeuralOperator
  ☆32Updated 3 weeks ago
• stnamjef / SPINN
  Source code for Separable PINN
  ☆70Updated last year
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆49Updated 10 months ago
• thu-ml / GNOT
  ☆71Updated last year
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆50Updated 2 months ago
• 7tl7qns7ch / IPOT
  Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)
  ☆11Updated 8 months ago
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆20Updated 4 months ago
• WooJin-Cho / Hyper-LR-PINN
  ☆32Updated last year
• lizhihao2022 / Awesome-AI4PDE
  Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…
  ☆37Updated 2 weeks ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆41Updated last year
• nec-research / CAPE-ML4Sci
  ☆13Updated 8 months ago
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆26Updated 5 months ago
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆20Updated last year
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆69Updated 2 weeks ago
• zhijie-group / Orthogonal-Neural-operator
  Code for orthogonal neural operator
  ☆15Updated last year
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆14Updated 7 months ago
• HaoZhongkai / GNOT
  ☆41Updated last year
• csccm-iitd / WNO
  ☆50Updated 3 months ago
• Hrrsmjd / fourier_neural_operator
  Fourier Neural Operator
  ☆12Updated last year
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆44Updated last year
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆53Updated last month
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆17Updated 5 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆60Updated last year
• scaomath / torch-cfd
  Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆30Updated 4 months ago
• sjunhongshen / UnifiedPDESolvers
  ☆20Updated 11 months ago