Alternatives and similar repositories for Awesome-AI4PDE

Users that are interested in Awesome-AI4PDE are comparing it to the libraries listed below

• thuml / Transolver
  About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…
  ☆245Updated 2 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆59Updated 10 months ago
• isds-neu / PeRCNN
  Encoding physics to learn reaction-diffusion processes
  ☆109Updated 2 years ago
• thu-ml / GNOT
  ☆86Updated 2 years ago
• BaratiLab / OFormer
  ☆89Updated last year
• thuml / Neural-Solver-Library
  A Library for Advanced Neural PDE Solvers.
  ☆252Updated last month
• csccm-iitd / WNO
  ☆66Updated 4 months ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆66Updated last year
• AI4Science-WestlakeU / wdno
  [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆53Updated 3 months ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated last year
• RiverFlowsInYou98 / DeepONet_pytorch
  ☆26Updated 3 years ago
• WillDreamer / Awesome-AI4CFD
  Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
  ☆251Updated 6 months ago
• lu-group / deeponet-fno
  A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
  ☆344Updated 2 years ago
• AdityaLab / pinnsformer
  ☆191Updated last year
• yizheng-wang / Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN
  This is the code of my master thesis.
  ☆169Updated 8 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
  ☆79Updated 8 months ago
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆251Updated 2 months ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆383Updated last year
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆29Updated last year
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆75Updated 8 months ago
• bilzinet / pifno
  Physics Informed Fourier Neural Operator
  ☆25Updated last year
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆75Updated 2 years ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆31Updated last month
• HaoZhongkai / GNOT
  ☆59Updated 2 years ago
• Sysuzqs / PDENNEval
  ☆53Updated last year
• sjunhongshen / UnifiedPDESolvers
  ☆24Updated last year
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆101Updated last year
• jx-wang-s-group / CoNFiLD
  Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence
  ☆77Updated 10 months ago
• LithiumDA / L_inf-PINN
  [NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training
  ☆38Updated 2 years ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆165Updated last year