Alternatives and similar repositories for pymcmcstat:

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

• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆228Updated 2 years ago
• equadratures / equadratures
  ☆99Updated last year
• PredictiveScienceLab / uq-course
  Introduction to Uncertainty Quantification
  ☆245Updated 2 years ago
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆112Updated 10 months ago
• neurophysik / jitcode
  Just-in-Time Compilation for Ordinary Differential Equations
  ☆63Updated last month
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆80Updated last month
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆288Updated last week
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 9 months ago
• stur86 / tvregdiff
  Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data
  ☆70Updated 4 years ago
• keurfonluu / stochopy
  Python library for stochastic numerical optimization
  ☆96Updated last year
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆233Updated last month
• sahilm89 / lhsmdu
  This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Pla…
  ☆81Updated 4 years ago
• nasa / SMCPy
  Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
  ☆115Updated 2 weeks ago
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆455Updated last week
• hplgit / odespy
  Easy access in Python to a large collection of ODE solvers
  ☆121Updated 4 years ago
• paulcon / active_subspaces
  Python Active-subspaces Utility Library
  ☆70Updated 4 years ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆163Updated last year
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆34Updated last year
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆226Updated last month
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆40Updated 5 years ago
• bjodah / pyodesys
  ∫ Straightforward numerical integration of systems of ordinary differential equations
  ☆93Updated last month
• IvanYashchuk / fenics-pymc3
  Differentiable interface to FEniCS for PyMC3
  ☆20Updated 2 years ago
• cphyc / FyeldGenerator
  Easily generate random fields
  ☆18Updated 2 weeks ago
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆116Updated 2 weeks ago
• rmcgibbo / pyhmc
  Hamiltonain Monte Carlo in Python
  ☆39Updated 5 years ago
• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆48Updated last year
• grinsted / gwmcmc
  An implementation of the Goodman & Weare MCMC sampler for matlab
  ☆52Updated 6 years ago
• chi-feng / gp-demo
  Gaussian Process Regression Interactive Javascript Demo
  ☆54Updated 6 years ago
• aquaULB / solving_pde_mooc
  ☆69Updated 6 months ago
• goroda / GPEXP
  Experimental Design for Gaussian Process Regression in Python
  ☆12Updated 3 years ago