Alternatives and similar repositories for BayesianSindy:

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

• niallmm / SINDy_AIC
  combination of sparse identification of nonlinear dynamics with Akaike information criteria
  ☆16Updated 7 years ago
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆20Updated 2 years ago
• urban-fasel / EnsembleSINDy
  ☆19Updated 3 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆25Updated 3 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆19Updated 3 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆28Updated 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"
  ☆17Updated last year
• 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
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 2 years ago
• kfukami / CNN-SINDy-MLROM
  Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.
  ☆25Updated 3 years ago
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆55Updated 4 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆67Updated 4 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆41Updated 4 years ago
• NicolaRFranco / dlroms
  ☆11Updated this week
• SchatzLabGT / SymbolicRegression
  ☆11Updated 3 years ago
• kpchamp / MultiscaleDiscovery
  ☆27Updated 6 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
• maziarraissi / TutorialGP
  Tutorial on Gaussian Processes
  ☆62Updated 5 years ago
• pehersto / mfmc
  Multi Fidelity Monte Carlo
  ☆25Updated 5 years ago
• PredictiveIntelligenceLab / UQPINNs
  ☆62Updated 5 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
• zzhang222 / Bayesian-PINN-Pytorch
  ☆14Updated 3 years ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆25Updated 3 years ago
• ContiPaolo / MultiFidelity_POD
  Multi-fidelity reduced-order surrogate modeling
  ☆19Updated 3 months ago
• Zhengyu-Huang / Operator-Learning
  ☆39Updated 2 years ago
• PredictiveScienceLab / variational-elliptic-SPDE
  ☆13Updated 5 years ago
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆15Updated 4 years ago