Alternatives and similar repositories for KRnet

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

• mroberto166 / nio
  ☆35Updated 2 years ago
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆35Updated 3 years ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆63Updated 2 months 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 7 months ago
• PKU-CMEGroup / NeuralOperator
  ☆25Updated last week
• BaratiLab / OFormer
  ☆81Updated 10 months ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 2 years ago
• ashiq24 / UNO
  ☆60Updated 3 months ago
• pkmtum / Semi-supervised_Invertible_Neural_Operators
  Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
  ☆13Updated last year
• abelsr / Fourier-Neural-Operator
  Implementation of Fourier Neural Operator using PyTorch
  ☆17Updated 9 months ago
• csccm-iitd / WNO
  ☆56Updated 5 months ago
• Hrrsmjd / fourier_neural_operator
  Fourier Neural Operator
  ☆12Updated 2 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆70Updated last year
• neuraloperator / markov_neural_operator
  ☆35Updated last year
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆11Updated last year
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆20Updated last year
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆21Updated 2 years ago
• thu-ml / GNOT
  ☆76Updated 2 years ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆61Updated 3 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆137Updated 3 years ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆54Updated 4 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆90Updated 7 months ago
• isds-neu / PeRCNN
  Encoding physics to learn reaction-diffusion processes
  ☆101Updated last year
• AmeyaJagtap / Locally-Adaptive-Activation-Functions-Neural-Networks-
  Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…
  ☆40Updated 2 years ago
• PredictiveScienceLab / variational-elliptic-SPDE
  ☆13Updated 5 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• VLSF / SNO
  Spectral Neural Operator
  ☆79Updated last year
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆145Updated 3 years ago
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆148Updated 5 years ago