Alternatives and similar repositories for KramersMoyal

Users that are interested in KramersMoyal 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
  ☆26Updated 3 years ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆167Updated 2 years ago
• juliusberner / Deep-Multilevel-Kolmogorov-PDE-Solver
  Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation
  ☆12Updated 4 years ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆65Updated last month
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆239Updated 6 months ago
• tonyshardlow / PICSPDE
  Python codes for Introduction to Computational Stochastic PDE
  ☆44Updated 6 months ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆56Updated 3 years ago
• QMCSoftware / QMCSoftware
  Quasi-Monte Carlo point generators, automatic transformations, and adaptive stopping criteria
  ☆76Updated this week
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆114Updated last year
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆122Updated this week
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• johnaparker / fplanck
  Numerically solve the Fokker-Planck equation in N dimensions
  ☆93Updated last year
• luckystarufo / multiscale_HiTS
  ☆73Updated 5 years ago
• Ohjeah / sparsereg
  a collection of modern sparse (regularized) linear regression algorithms.
  ☆64Updated 5 years ago
• DENG-MIT / StiffNeuralODE
  Stiff Neural Ordinary Differential Equations
  ☆35Updated 2 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆87Updated 11 months ago
• Llewelyn62 / Non-linear-dynamics-Strogatz
  Python scripts connected to Strogatz's nonlinear dynamics and chaos theory text.
  ☆95Updated last year
• alu042 / SDE-higham
  Some basic algorithms for stochastic differential equations in Python/NumPy
  ☆29Updated 12 years ago
• stur86 / tvregdiff
  Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data
  ☆73Updated 4 years ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆58Updated last year
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆76Updated 3 years ago
• eth-nn-physics / nn_physical_concepts
  ☆177Updated 2 years ago
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆35Updated last year
• kpchamp / MultiscaleDiscovery
  ☆29Updated 7 years ago
• chi-feng / gp-demo
  Gaussian Process Regression Interactive Javascript Demo
  ☆56Updated 7 years ago
• cbherbert / stochrare
  This Python package aims at providing tools to study stochastic processes: integrate SDEs, solve Fokker-Planck equations, sample rare eve…
  ☆11Updated 5 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 2 months ago
• AnDiChallenge / andi_datasets
  andi_datasets provides functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the A…
  ☆31Updated this week
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• Bostanabad-Research-Group / GP-Plus
  Python Library for Generalized Gaussian Process Modeling
  ☆25Updated 4 months ago