Machine learning, in numpy

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Infer.NET is a framework for running Bayesian inference in graphical models

Fast and Easy Infinite Neural Networks in Python

Bayesian inference with probabilistic programming.

A Python library that helps data scientists to infer causation rather than observing correlation.

PyMC3 educational resources

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

Resources to learn more about Machine Learning and Artificial Intelligence

Bayesian Data Analysis demos for Python

RStan, the R interface to Stan

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

solution of exercises of the book "probabilistic robotics"

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

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

Variational autoencoders for collaborative filtering

The bookdown version lives here: https://bookdown.org/content/3890

High-performance Bayesian Data Analysis on the GPU in Clojure

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

rstanarm R package for Bayesian applied regression modeling

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Collection of probabilistic models and inference algorithms