Alternatives and similar repositories for bayesian-model-evaluation:

Users that are interested in bayesian-model-evaluation are comparing it to the libraries listed below

• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 6 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 3 years ago
• bambinos / educational-resources
  Educational resources
  ☆105Updated 3 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 6 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆156Updated 5 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆50Updated last month
• 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
• corriebar / Bayesian-Workflow-with-PyMC
  Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
  ☆36Updated 2 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆123Updated 7 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 11 months ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆270Updated 3 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆52Updated 2 years ago
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆58Updated 6 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆21Updated last week
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated 8 months ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆91Updated 8 months ago
• sidravi1 / Blog
  ☆24Updated 4 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago