Alternatives and similar repositories for stabilizing_neural_operators

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

• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆29Updated 2 months ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆14Updated 8 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆35Updated 2 months ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆32Updated this week
• jaggbow / magnet
  This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
  ☆37Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆65Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆42Updated last year
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• continuous-pde / continuous-pde
  ☆13Updated last year
• erichson / SuperBench
  ☆43Updated 7 months ago
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆15Updated 4 years ago
• csccm-iitd / VB-DeepONet
  ☆12Updated 2 years ago
• googleinterns / invobs-data-assimilation
  ☆35Updated 3 years ago
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆29Updated 3 months ago
• nec-research / CAPE-ML4Sci
  ☆13Updated 8 months ago
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆18Updated last year
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆22Updated last year
• PredictiveIntelligenceLab / cvit
  ☆37Updated 2 months ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆25Updated last month
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆22Updated 2 months ago
• optray / PIANO
  This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…
  ☆11Updated last year
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆70Updated 6 months ago
• somdattagoswami / Approximating-StiffKinetics
  ☆11Updated 11 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 10 months ago
• neuraloperator / cond-diffusion-operators-edm
  ☆16Updated last year
• Yubin-Lu / Temporal-normalizing-flows-for-SDEs
  Try to approximate the solution of Fokker-Planck equation
  ☆9Updated last year
• AI4Science-WestlakeU / le-pde-uq
  [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…
  ☆16Updated last year
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆21Updated 5 months ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆25Updated 2 years ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year