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

• BaratiLab / OFormer
  ☆84Updated 11 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆50Updated last year
• AI4Science-WestlakeU / wdno
  [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆40Updated 2 months ago
• PredictiveIntelligenceLab / cvit
  ☆46Updated last month
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆58Updated last year
• stnamjef / SPINN
  [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks
  ☆78Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆71Updated last year
• delta-lab-ai / pde-controller
  ☆22Updated 2 months ago
• thu-ml / GNOT
  ☆78Updated 2 years ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆53Updated last year
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆29Updated 8 months ago
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆25Updated 9 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆57Updated 6 months ago
• nec-research / CAPE-ML4Sci
  ☆13Updated last year
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆42Updated last week
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆24Updated 8 months ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆15Updated 11 months ago
• lizhihao2022 / Awesome-AI4PDE
  Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…
  ☆69Updated 4 months ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆50Updated 2 months ago
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆73Updated 4 months ago
• thuml / HelmFluid
  About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…
  ☆19Updated last year
• L-I-M-I-T / LatentNeuralOperator
  ☆43Updated 4 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆46Updated 5 months ago
• LithiumDA / CodePDE
  CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
  ☆53Updated 2 months ago
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆23Updated last year
• zhijie-group / Orthogonal-Neural-operator
  Code for orthogonal neural operator
  ☆17Updated last year
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆15Updated last year
• sjunhongshen / UnifiedPDESolvers
  ☆21Updated last year
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆28Updated 5 months ago
• WooJin-Cho / Hyper-LR-PINN
  ☆33Updated last year