Alternatives and similar repositories for DySMHO

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

• gaoliyao / BayesianSindyAutoencoder
  Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal S…
  ☆11Updated last year
• urban-fasel / EnsembleSINDy
  ☆26Updated 3 years ago
• tmglncc / SINDy-SA
  SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis
  ☆12Updated 7 months ago
• jbesty / PINN_system_identification
  ☆34Updated 3 years ago
• drgona / PIML_ACC2023
  Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…
  ☆19Updated last year
• urban-fasel / SEIR_SINDY_MPC
  ☆45Updated 4 years ago
• sethhirsh / BayesianSindy
  ☆14Updated 3 years ago
• niallmm / SINDy_AIC
  combination of sparse identification of nonlinear dynamics with Akaike information criteria
  ☆16Updated 8 years ago
• matlab-deep-learning / physics-informed-neural-networks-with-matlab-live-coding-session
  Solve mass spring damper system with phyics-informed neural networks in MATLAB
  ☆15Updated last year
• weishiyan / Physics-Informed-Reinforcement-Learning
  ☆10Updated 4 years ago
• SchatzLabGT / SymbolicRegression
  ☆11Updated 4 years ago
• Blue-Giant / PIELM_Numpy
  Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem
  ☆15Updated last year
• SimonStock / BPINN_for_System_Identification
  Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems
  ☆13Updated 2 years ago
• zhbai / cDMDc
  Compressive dynamic mode decomposition with control for compressive system identification
  ☆41Updated 7 years ago
• haozhg / odmd
  AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
  ☆44Updated 3 years ago
• pde-sim / teng
  Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"
  ☆14Updated last year
• MColbrook / Residual-Dynamic-Mode-Decomposition
  Code for ResDMD: data-driven spectral properties of Koopman Operators
  ☆40Updated last year
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 4 years ago
• matlab-deep-learning / fourier-neural-operator
  ☆21Updated 2 years ago
• eurika-kaiser / KRONIC
  Koopman Reduced-Order Nonlinear Identification and Control
  ☆92Updated 5 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆59Updated 3 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 5 years ago
• mbudisic / koopman
  Koopman Mode Decomposition
  ☆74Updated 8 years ago
• MunzirH / Applications-of-Physics-Informed-Machine-Learning
  🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…
  ☆11Updated last year
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆30Updated 3 years ago
• jbesty / PINNs_transient_stability_analysis
  ☆28Updated 4 years ago
• MLDS-NUS / KoopmanDL
  Learning Koopman operator by EDMD with trainable dictionary
  ☆27Updated 3 years ago
• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆81Updated last year
• gmisy / Physics-Informed-Neural-Networks-for-Power-Systems
  ☆95Updated 5 years ago
• pierremtb / UQPINNs-TF2.0
  TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…
  ☆21Updated 2 years ago