aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Probabilistic reasoning and statistical analysis in TensorFlow

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Bayesian Data Analysis course at Aalto

Notebooks about Bayesian methods for machine learning

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

High-quality implementations of standard and SOTA methods on a variety of tasks.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

rstanarm R package for Bayesian applied regression modeling

Data Assimilation with Python: a Package for Experimental Research

🚂 Python API for Emma's Markov Model Algorithms 🚂

A collection of Bayesian data analysis recipes using PyMC3

A simple probabilistic programming language.

shinystan R package and ShinyStan GUI

Tutorials on data assimilation (DA) and the EnKF

Statistical Rethinking course in pymc3

Personal 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

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

A Java Toolbox for Scalable Probabilistic Machine Learning

Statistical Rethinking with PyTorch and Pyro