Alternatives and similar repositories for PINNMamba

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

• thuml / RoPINN
  About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369
  ☆58Updated 3 months ago
• WooJin-Cho / Parameterized-Physics-informed-Neural-Networks
  ☆27Updated 10 months ago
• Event-AHU / PINN_Paper_List
  Paper List of Physics-Informed Neural Network (PINN)
  ☆39Updated 3 months ago
• xuangu-fang / Gaussian-Process-Slover-for-High-Freq-PDE
  Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)
  ☆25Updated last year
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆46Updated last month
• dataymeric / ClimODE
  PyTorch implementation of "ClimODE: Climate Forecasting With Physics-informed Neural ODEs"
  ☆19Updated last year
• nec-research / CAPE-ML4Sci
  ☆13Updated last year
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆22Updated 2 years ago
• mikemccabe210 / stabilizing_neural_operators
  ☆20Updated 10 months ago
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆26Updated 10 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
  ☆75Updated 6 months ago
• csccm-iitd / WNO
  ☆60Updated last month
• xuangu-fang / BayOTIDE
  BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)
  ☆35Updated last month
• thuml / HelmFluid
  About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…
  ☆19Updated last year
• XinyuanLiao / Adaptive-optimization-of-PINN
  Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm
  ☆31Updated 2 years ago
• paulpuren / PhySR
  Physics-informed deep super-resolution of spatiotemporal data
  ☆47Updated 2 years ago
• tsinghua-fib-lab / MDPNet
  KDD 2025: 📄"Predicting the Dynamics of Complex Systems via Multiscale Diffusion Autoencoder"
  ☆16Updated 4 months ago
• lzy12301 / S3GM
  Source code for paper "Learning spatiotemporal dynamics with a pretrained generative model" in Nature Machine Intelligence
  ☆50Updated 6 months ago
• hoangthangta / All-KAN
  All-KAN: All Kolmogorov-Arnold Networks We Know
  ☆26Updated 2 weeks ago
• Alexander-wu / NuwaDynamics
  [ICLR 2024 Spotlight]
  ☆21Updated last year
• Alexander-wu / PastNet
  [MM 2024]
  ☆24Updated 4 months ago
• thu-ml / GNOT
  ☆82Updated 2 years ago
• Aalto-QuML / ClimODE
  ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs
  ☆110Updated 6 months ago
• lonestar686 / AdaptiveFourierNeuralOperator
  ☆28Updated 3 years ago
• Xihaier / Continuous-Field-Reconstruction-MMGN
  [ICLR 2024] Official implementation for the paper "Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks…
  ☆15Updated last month
• pcl-china / SK-PINN
  SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients
  ☆22Updated 6 months ago
• runze1223 / Fourier-Basis-Mapping
  ☆14Updated 2 months ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆36Updated 7 months ago
• bilzinet / pifno
  Physics Informed Fourier Neural Operator
  ☆23Updated 10 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆70Updated 5 months ago