Alternatives and similar repositories for Gaussian-Process-Slover-for-High-Freq-PDE

Users that are interested in Gaussian-Process-Slover-for-High-Freq-PDE are comparing it to the libraries listed below

• csccm-iitd / VB-DeepONet
  ☆12Updated 3 years ago
• Blue-Giant / FMPINN
  Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…
  ☆14Updated last year
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 4 years ago
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆27Updated last year
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• geekyifei / randomized-PINN
  Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors
  ☆12Updated 7 months ago
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆25Updated 2 years ago
• delta-lab-ai / pde-controller
  ☆24Updated 5 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆47Updated 8 months ago
• SuihongSong / Physics-informed_multi-grid_neural_operator
  ☆22Updated last year
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago
• pcl-china / SK-PINN
  SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients
  ☆23Updated 8 months ago
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆25Updated last year
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• zhijie-group / Orthogonal-Neural-operator
  Code for orthogonal neural operator
  ☆17Updated 2 years ago
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆23Updated 2 years ago
• bilzinet / pifno
  Physics Informed Fourier Neural Operator
  ☆23Updated last year
• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆11Updated 3 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
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆40Updated 8 months ago
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆47Updated 3 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆35Updated last year
• ContiPaolo / MultiFidelity_NNs
  Multi-fidelity regression with neural networks
  ☆16Updated last month
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆19Updated last year
• Sysuzqs / DFVM
  Deep finite volume method
  ☆21Updated last year
• apivich-h / pinnacle
  🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection
  ☆26Updated last year
• csccm-iitd / WNO
  ☆65Updated 3 months ago
• JacobSRPage / super-res-dynamical
  ☆12Updated 11 months ago
• pde-sim / teng
  Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"
  ☆14Updated last year
• anthonyzhou-1 / ldm_pdes
  ☆37Updated 5 months ago