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.

Bayesian Data Analysis course at Aalto

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

A general-purpose probabilistic programming system with programmable inference

Exploratory analysis of Bayesian models with Python

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 address parameter and model uncertainties.

Seminars DeepBayes Summer School 2018

Bayesian Data Analysis demos for Python

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

📜 🎉 Automated reporting of objects in R

How to do Bayesian statistical modelling using numpy and PyMC3

Bayesian Data Analysis demos for R

👻 Utilities for analyzing Bayesian models and posterior distributions

A collection of Bayesian data analysis recipes using PyMC3

PyTorch implementation of bayesian neural network [torchbnn]

Python package for Bayesian Machine Learning with scikit-learn API

Bayesian Deep Learning: A Survey

A python library for Bayesian time series modeling