Alternatives and similar repositories for RK4-SinDy

Users that are interested in RK4-SinDy 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
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated 11 months ago
• kpchamp / SINDySR3
  ☆27Updated 5 years ago
• dylewsky / MultiRes_Discovery
  From the paper "Dynamic mode decomposition for multiscale nonlinear physics" by Dylewsky, Tao, & Kutz
  ☆12Updated 5 years ago
• kochlisGit / Physics-Informed-Neural-Network-PINN-Tensorflow
  Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…
  ☆14Updated 3 years ago
• PredictiveIntelligenceLab / LOCA
  ☆15Updated last year
• niallmm / Hybrid-SINDy
  Sparse Identification of Nonlinear Dynamics for Hybrid Systems
  ☆24Updated 6 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
  ☆26Updated 3 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 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
• ElHuaco / PINN-fokker-planck
  TensorFlow PINN study for a couple of Fokker-Planck equations.
  ☆11Updated 3 years ago
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆32Updated last year
• fnauman / timeseries
  Modeling time series using TensorFlow, scikit-learn, SINDy, SARIMA
  ☆16Updated 3 years ago
• barbagroup / jcs_paper_pinn
  PINN paper that will be submitted to Journal of Computational Science
  ☆11Updated 11 months ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆30Updated 2 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆27Updated 5 years ago
• kpchamp / MultiscaleDiscovery
  ☆28Updated 7 years ago
• rmojgani / PhysicsAwareAE
  The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…
  ☆19Updated 2 years ago
• tumaer / SITE
  Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations
  ☆10Updated 5 years ago
• dynamicslab / ctf-dl-tutorial
  CTF workshop deep learning tutorial and hackathon
  ☆12Updated 2 years ago
• wesg52 / sindy_mio_paper
  Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization
  ☆14Updated 3 years ago
• akaptano / POD-Galerkin_MHD
  This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…
  ☆20Updated 4 years ago
• mariodeflorio / AI-Lorenz
  ☆32Updated last year
• sethhirsh / BayesianSindy
  ☆14Updated 3 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆57Updated 4 years ago
• elhamwasei / PINNs
  Physics-Informed Neural Networks for solving PDEs (bachelor project)
  ☆10Updated 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.
  ☆26Updated 3 years ago
• jesserobertson / pydym
  Dynamic mode decomposition in Python
  ☆13Updated 10 years ago