Alternatives and similar repositories for Data-Science-Methods

Users that are interested in Data-Science-Methods are comparing it to the libraries listed below

• 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
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆74Updated 2 years ago
• niallmm / SINDy_AIC
  combination of sparse identification of nonlinear dynamics with Akaike information criteria
  ☆16Updated 7 years ago
• jbramburger / DataDrivenDynSyst
  Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
  ☆112Updated 2 months ago
• mariodeflorio / AI-Lorenz
  ☆32Updated last year
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆23Updated 4 years ago
• FrancescoRegazzoni / LDNets
  ☆56Updated last year
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• keisuke198619 / GraphDMD
  Dynamic mode decomposition with dependent structure among observables (Graph DMD)
  ☆13Updated 5 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆59Updated 7 years ago
• duqbo / optdmd
  A MATLAB package for computing the optimized dynamic mode decomposition (DMD)
  ☆18Updated 6 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆55Updated 2 years ago
• loiseaujc / SINDy
  ☆41Updated 7 years ago
• haller-group / SSMTool-2.4
  Computation of invariant manifolds in high-dimensional mechanics problems
  ☆24Updated last year
• fernexda / cnm
  ☆18Updated 4 years ago
• MColbrook / Residual-Dynamic-Mode-Decomposition
  Code for ResDMD: data-driven spectral properties of Koopman Operators
  ☆38Updated last year
• sethhirsh / BayesianSindy
  ☆14Updated 3 years ago
• dfloryan / neural-manifold-dynamics
  Reduced-order modelling using an atlas of charts
  ☆25Updated 2 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆41Updated 5 years ago
• mendible / wave_decomposition
  ☆17Updated 4 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…
  ☆19Updated 4 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆68Updated 4 years ago
• kpchamp / MultiscaleDiscovery
  ☆29Updated 6 years ago
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆21Updated 3 months ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• kamilazdybal / PCAfold
  Low-dimensional PCA-derived manifolds and everything in between!
  ☆16Updated 7 months ago
• alanmatzumiya / pySpectralPDE
  PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochast…
  ☆14Updated 2 years ago
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆32Updated last year
• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆49Updated last year
• opaliss / dmd_autoencoder
  Enhancing Dynamic Mode Decomposition using Autoencoder Networks.
  ☆30Updated 4 years ago