Alternatives and similar repositories for jitcsde

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

• neurophysik / jitcdde
  Just-in-time compilation for delay differential equations
  ☆56Updated last month
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆74Updated 8 months ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 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
  ☆26Updated 3 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆60Updated 8 years ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆167Updated 2 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆87Updated last year
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆81Updated this week
• numericalalgorithmsgroup / dfols
  Python-based Derivative-Free Optimizer for Least-Squares
  ☆42Updated last week
• neurophysik / jitcode
  Just-in-Time Compilation for Ordinary Differential Equations
  ☆67Updated 2 months ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• kb-press / ndsplines
  Multi-dimensional B-splines
  ☆33Updated last week
• sigma-py / smoothfit
  Smooth data fitting in N dimensions.
  ☆55Updated 2 years ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆64Updated 5 years ago
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆35Updated last year
• pdfo / pdfo
  Powell's Derivative-Free Optimization solvers.
  ☆104Updated 4 months ago
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆28Updated last year
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆122Updated this week
• scikit-hep / numba-stats
  Numba-accelerated statistical distributions
  ☆63Updated last week
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆65Updated 2 months ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆93Updated 3 weeks ago
• equadratures / equadratures
  ☆99Updated 2 years ago
• redmod-team / profit
  Probabilistic Response mOdel Fitting with Interactive Tools
  ☆15Updated last month
• differint / differint
  Python package for calculating fractional derivatives.
  ☆57Updated last year
• hplgit / odespy
  Easy access in Python to a large collection of ODE solvers
  ☆124Updated 5 years ago
• wesselb / fdm
  Estimate derivatives with finite differences
  ☆17Updated 9 months ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆228Updated 2 years ago
• Stefan-Endres / shgo
  Simplicial Homology Global Optimization
  ☆53Updated 5 months ago
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago
• asanet / dasslc2py
  Dasslc is a solver for differential-algebraic equations inspired by DASSL. A python module for dasslc is provided.
  ☆16Updated last year