Alternatives and similar repositories for bayesian_bootstrap

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

• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆128Updated 8 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• CamDavidsonPilon / PyProcess
  Generate stochastic processes using Python. Unfortunately not maintained any longer =(
  ☆111Updated 10 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 3 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 9 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆176Updated last year
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• strawlab / best
  Bayesian estimation supersedes the t test
  ☆144Updated 3 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated 9 months ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 7 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 3 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆184Updated 6 years ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 7 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 10 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated last year
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 9 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆31Updated 7 years ago