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

• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆46Updated 6 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆43Updated last week
• LithiumDA / L_inf-PINN
  [NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training
  ☆36Updated last year
• thu-ml / GNOT
  ☆63Updated last year
• BaratiLab / OFormer
  ☆61Updated 3 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆27Updated 5 months ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆38Updated 6 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆75Updated this week
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆22Updated 7 months ago
• AI4Science-WestlakeU / diffphycon
  [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
  ☆27Updated last week
• pratikrathore8 / opt_for_pinns
  ☆14Updated 6 months ago
• jhhuangchloe / DiffusionPDE
  Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"
  ☆84Updated last month
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆48Updated 2 years ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆29Updated 8 months ago
• sjunhongshen / UnifiedPDESolvers
  ☆14Updated 6 months ago
• TapasTripura / Wavelet-Neural-Operator-for-pdes
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆14Updated 4 months ago
• jhbastek / PhysicsInformedDiffusionModels
  Implementation of Physics-Informed Diffusion Models
  ☆39Updated 5 months ago
• optray / MCNP
  This repository contains the code for the paper: Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
  ☆16Updated 11 months ago
• MLDS-NUS / KoopmanDL
  Learning Koopman operator by EDMD with trainable dictionary
  ☆22Updated 2 years ago
• erichson / SuperBench
  ☆36Updated 3 months ago
• neuraloperator / markov_neural_operator
  ☆27Updated 6 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
  ☆66Updated 8 months ago
• Zhengyu-Huang / Operator-Learning
  ☆37Updated 2 years ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆23Updated last year
• malbergo / stochastic-interpolants
  ☆115Updated 10 months ago
• nec-research / CAPE-ML4Sci
  ☆10Updated 3 months ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆49Updated last year
• thuml / Transolver
  About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…
  ☆93Updated 2 months ago
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆22Updated last week
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆12Updated 2 months ago