MatthieuDarcy / KernelFlows

Related projects ⓘ

Alternatives and complementary repositories for KernelFlows

• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆29Updated last year
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆26Updated 2 years ago
• NickGeneva / blog-code
  Code and files related to random side projects
  ☆21Updated 2 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆47Updated last month
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆19Updated 3 years ago
• Crunch-UQ4MI / neuraluq
  ☆152Updated 8 months ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆52Updated 2 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆60Updated 4 years ago
• sethhirsh / BayesianSindy
  ☆12Updated 2 years ago
• loiseaujc / SINDy
  ☆41Updated 6 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆51Updated 8 months ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆165Updated 7 months ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆51Updated 4 years ago
• PredictiveScienceLab / advanced-scientific-machine-learning
  ME 697 - Advanced Scientific Machine Learning
  ☆15Updated this week
• gatsby-sahani / gp-sde
  ☆12Updated last year
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆65Updated last year
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆21Updated 9 years ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆76Updated 3 weeks ago
• MatthieuDarcy / KernelsOperatorLearning
  ☆10Updated last year
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆31Updated last year
• MLDS-NUS / KoopmanDL
  Learning Koopman operator by EDMD with trainable dictionary
  ☆20Updated 2 years ago
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆130Updated 3 years ago
• CUQI-DTU / CUQIpy
  ☆45Updated this week
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆70Updated last year
• tonyshardlow / PICSPDE
  Python codes for Introduction to Computational Stochastic PDE
  ☆36Updated 2 months ago
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆72Updated 2 years ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆67Updated 9 months ago
• maziarraissi / TutorialGP
  Tutorial on Gaussian Processes
  ☆60Updated 4 years ago
• kpchamp / MultiscaleDiscovery
  ☆25Updated 6 years ago