Deep universal probabilistic programming with Python and PyTorch

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

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.

A general-purpose probabilistic programming system with programmable inference

Seminars DeepBayes Summer School 2018

Bayesian Data Analysis demos for Python

Python package for Bayesian Machine Learning with scikit-learn API

A collection of Bayesian data analysis recipes using PyMC3

How to do Bayesian statistical modelling using numpy and PyMC3

Bayesian Data Analysis demos for R

High-performance Bayesian Data Analysis on the GPU in Clojure

A python library for Bayesian time series modeling

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

rstanarm R package for Bayesian applied regression modeling

📜 🎉 Automated reporting of objects in R

👻 Utilities for analyzing Bayesian models and posterior distributions

bayesplot R package for plotting Bayesian models

Collection of probabilistic models and inference algorithms

ELFI - Engine for Likelihood-Free Inference

Bayesian optimization for Python

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

shinystan R package and ShinyStan GUI

yet another general purpose naive bayesian classifier.

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

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.

Tutorial on model assessment, model selection and inference after model selection

An interactive online reading of McElreath's Statistical Rethinking

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

🔗 Methods for Correlation Analysis

Hierarchical Bayesian modeling of RLDM tasks, using R & Python