Bayesian Analysis RecipesA collection of Bayesian data analysis recipes using PyMC3
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Rhat essRank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
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Rstanarmrstanarm R package for Bayesian applied regression modeling
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StanStan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
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Shinystanshinystan R package and ShinyStan GUI
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Bayesian Stats Modelling TutorialHow to do Bayesian statistical modelling using numpy and PyMC3
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Dynamichmc.jlImplementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
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Rethinking Tensorflow ProbabilityStatistical Rethinking (2nd Ed) with Tensorflow Probability
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LogDensityProblems.jlA common framework for implementing and using log densities for inference.
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Dbda PythonDoing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
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Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
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Bda py demosBayesian Data Analysis demos for Python
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ProbflowA Python package for building Bayesian models with TensorFlow or PyTorch
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Pymc3 vs pystanPersonal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
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RstanRStan, the R interface to Stan
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ResourcesPyMC3 educational resources
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Bayesian Cognitive Modeling In Pymc3PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
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Da TutorialsCourse on data assimilation (DA)
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Hmm for autonomous driving🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗
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BnlearnPython package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
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