Alternatives and similar repositories for tvregdiff

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

• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆129Updated 2 weeks ago
• johnaparker / fplanck
  Numerically solve the Fokker-Planck equation in N dimensions
  ☆97Updated 2 months ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆66Updated 3 weeks ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 3 years ago
• Nicholaswogan / numbalsoda
  Python wrapper of LSODA (solving ODEs) which can be called from within numba functions.
  ☆103Updated 2 years ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆83Updated 3 weeks ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆167Updated 2 years ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆58Updated 4 years ago
• ICB-DCM / pyPESTO
  python Parameter EStimation TOolbox
  ☆265Updated last week
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆83Updated 3 years ago
• paulcon / active_subspaces
  Python Active-subspaces Utility Library
  ☆76Updated 5 years ago
• chebpy / chebpy
  A Python implementation of Chebfun
  ☆147Updated this week
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆108Updated 2 months ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆60Updated 3 years ago
• CUQI-DTU / CUQIpy
  ☆52Updated 3 weeks ago
• sigma-py / pacopy
  Numerical parameter continuation in Python.
  ☆40Updated last year
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆75Updated last year
• bmcage / odes
  The ODES scikit for ordinary differential and algebraic equations, an extension to scipy
  ☆131Updated 11 months ago
• UCL-CCS / EasyVVUQ
  Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
  ☆98Updated 3 weeks ago
• pychebfun / pychebfun
  Python implementation of chebfun
  ☆101Updated 7 months ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• rickchartrand / regularized_differentiation
  Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …
  ☆31Updated 7 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
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆61Updated 8 years ago
• sigma-py / orthopy
  Orthogonal polynomials in all shapes and sizes.
  ☆187Updated last year
• equadratures / equadratures
  ☆100Updated 2 months ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆65Updated 5 years ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆230Updated 3 years ago
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆117Updated last year
• DENG-MIT / StiffNeuralODE
  Stiff Neural Ordinary Differential Equations
  ☆35Updated 2 years ago