Alternatives and similar repositories for pymcmc

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

• robertnishihara / gess
  An MCMC algorithm for sampling continuous probability distributions in parallel
  ☆19Updated 10 years ago
• dfm / george
  Fast and flexible Gaussian Process regression in Python
  ☆459Updated 2 weeks ago
• CamDavidsonPilon / PyProcess
  Generate stochastic processes using Python. Unfortunately not maintained any longer =(
  ☆111Updated 10 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆179Updated 4 months ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• isadoranun / FATS
  ☆75Updated last year
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆194Updated 10 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• arthurmensch / modl
  Randomized online matrix factorization
  ☆140Updated 5 years ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆217Updated 6 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆67Updated 8 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 8 years ago
• jlowin / pyautodiff
  Automatic differentiation for NumPy
  ☆102Updated 10 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆269Updated 3 years ago
• sbailey / empca
  Principal Component Analysis (PCA) for Missing and/or Noisy Data
  ☆83Updated 9 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆127Updated 9 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• binarybana / samcnet
  Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.
  ☆16Updated 10 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆222Updated last year
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• lmc2179 / pysterior
  Bayesian supervised learning in Python
  ☆21Updated 10 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• jakevdp / ESAC-stats-2014
  Material for my lectures at the ESAC statistics conference, Oct 27-31 2014
  ☆68Updated 11 years ago
• dfm / celerite
  Scalable 1D Gaussian Processes in C++, Python, and Julia
  ☆190Updated 2 weeks ago
• ibab / python-mle
  A Python package for performing Maximum Likelihood Estimates
  ☆128Updated 5 years ago
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆56Updated 8 years ago