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 ;)

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

Probabilistic reasoning and statistical analysis in TensorFlow

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.

Bayesian Data Analysis course at Aalto

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

Notebooks about Bayesian methods for machine learning

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

A simple probabilistic programming language.

A collection of Bayesian data analysis recipes using PyMC3

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 🚂

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Probabilistic Inference on Noisy Time Series

Probabilistic Programming and Nested sampling in JAX

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

shinystan R package and ShinyStan GUI

The base NIMBLE package for R

Tutorials on data assimilation (DA) and the EnKF

A Python package for building Bayesian models with TensorFlow or PyTorch

Statistical Rethinking with PyTorch and Pyro

Differentiable Programming Algorithms in Modern C++

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

A collection of awesome mathematics and computer science courses

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

Port of Statistical Rethinking (2nd edition) code to Julia

Graduate course on Machine Learning