Alternatives and similar repositories for BayesianSindy:

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

• urban-fasel / EnsembleSINDy
  ☆20Updated 3 years ago
• niallmm / SINDy_AIC
  combination of sparse identification of nonlinear dynamics with Akaike information criteria
  ☆16Updated 7 years ago
• kpchamp / MultiscaleDiscovery
  ☆29Updated 6 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• Baldea-Group / DySMHO
  ☆10Updated 2 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆29Updated 2 years ago
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆19Updated 3 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆26Updated 3 years ago
• stefaniafresca / DL-ROM
  Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.
  ☆15Updated last year
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆23Updated 4 years ago
• NicolaRFranco / dlroms
  ☆12Updated this week
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆68Updated 4 years ago
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆21Updated 2 years ago
• CarlosJose126 / NeuralODE-ROM
  This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"
  ☆19Updated 2 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 2 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• biomathlab / PDElearning
  Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"
  ☆10Updated 5 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆48Updated 4 years ago
• elizqian / mfgsa
  multifidelity global sensitivity analysis
  ☆16Updated 2 years ago
• pehersto / mfmc
  Multi Fidelity Monte Carlo
  ☆25Updated 5 years ago
• haozhg / odmd
  AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
  ☆42Updated 2 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆54Updated 2 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆41Updated 4 years ago
• PredictiveScienceLab / variational-elliptic-SPDE
  ☆13Updated 5 years ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated 8 months ago
• MColbrook / Residual-Dynamic-Mode-Decomposition
  Code for ResDMD: data-driven spectral properties of Koopman Operators
  ☆36Updated last year
• haller-group / DataDrivenLinearization
  Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems
  ☆10Updated 9 months ago
• sheadan / SINDy-BVP
  Sparse Identification of Nonlinear Dynamics for Boundary Value Problems
  ☆12Updated 4 years ago
• pierremtb / UQPINNs-TF2.0
  TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…
  ☆20Updated 2 years ago