Alternatives and similar repositories for KRnet

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

• BaratiLab / OFormer
  ☆84Updated 11 months ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆63Updated 3 years ago
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆21Updated 3 years ago
• thu-ml / GNOT
  ☆78Updated 2 years ago
• Zhengyu-Huang / Operator-Learning
  ☆42Updated 2 years ago
• MJfadeaway / DAS
  DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
  ☆38Updated 9 months ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆20Updated last year
• mroberto166 / nio
  ☆36Updated 2 years ago
• csccm-iitd / WNO
  ☆58Updated last week
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆35Updated 3 years ago
• optray / PIANO
  This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…
  ☆12Updated last year
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆57Updated 6 months ago
• PredictiveScienceLab / variational-elliptic-SPDE
  ☆13Updated 5 years ago
• isds-neu / PeRCNN
  Encoding physics to learn reaction-diffusion processes
  ☆102Updated 2 years ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 2 years ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆28Updated 5 months ago
• abelsr / Fourier-Neural-Operator
  Implementation of Fourier Neural Operator using PyTorch
  ☆18Updated 10 months ago
• Hrrsmjd / fourier_neural_operator
  Fourier Neural Operator
  ☆12Updated 2 years ago
• neuraloperator / markov_neural_operator
  ☆36Updated last year
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 3 years ago
• tonyzyl / DiffusionReconstruct
  Benchmarking of diffusion models for global field reconstruction from sparse observations
  ☆24Updated 8 months ago
• ashiq24 / UNO
  ☆61Updated 5 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆67Updated 4 months ago
• pkmtum / Semi-supervised_Invertible_Neural_Operators
  Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
  ☆13Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆20Updated 2 months ago
• ZeyuJia / DeepRitzMethod
  Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…
  ☆44Updated 7 years ago
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆150Updated 5 years ago
• yakovlev31 / graphpdes_experiments
  ☆35Updated 4 years ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆135Updated 11 months ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆41Updated 6 months ago