Deep universal probabilistic programming with Python and PyTorch
Python
Updated Aug 25, 2018
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Python
Updated Aug 24, 2018
Stan development repository (home page is linked below). The master branch contains the current release. The develop …
A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow
Python
Updated Aug 15, 2018
Bayesian Data Analysis demos for Python
Jupyter Notebook
Updated Mar 5, 2018
RStan, the R interface to Stan
R
Updated Aug 22, 2018
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Julia
Updated Aug 17, 2018
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
R
Updated Aug 23, 2018
High-performance Bayesian Data Analysis on the GPU in Clojure
Clojure
Updated Jul 22, 2018
Resources to learn more about Machine Learning and Artificial Intelligence
Updated Aug 5, 2018
Bayesian Data Analysis demos for R
HTML
Updated Mar 5, 2018
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
A collection of Bayesian data analysis recipes using PyMC3
Jupyter Notebook
Updated Aug 12, 2018
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Python
Updated Mar 23, 2018
rstanarm R package for Bayesian applied regression modeling
R
Updated Aug 23, 2018
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
Python
Updated Oct 23, 2017
shinystan R package and ShinyStan GUI
R
Updated May 1, 2018
Reexpress McElreath’s "Statistical Rethinking" (2015) by fitting the models in brms, plotting with ggplot2, and data …
ELFI - Engine for Likelihood-Free Inference
Python
Updated Aug 24, 2018
PyMC3 educational resources
Jupyter Notebook
Updated Aug 23, 2018
BOPP: Bayesian Optimization for Probabilistic Programs
Clojure
Updated Nov 9, 2017
Variational autoencoders for collaborative filtering
Jupyter Notebook
Updated Feb 19, 2018
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
A qualitative probabilistic programming language based on ranking theory
Java
Updated Aug 21, 2018
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
Jupyter Notebook
Updated Nov 13, 2017
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, v…
C++
Updated Mar 1, 2018
Bayesian Evolutionary Analysis by Sampling Trees
Java
Updated Aug 20, 2018
Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at
http://pydata.org/lon…
Jupyter Notebook
Updated May 22, 2016
Bayesian dessert for Lasagne
Python
Updated Jun 25, 2017
A platform for handling a wide class of economic models
Matlab
Updated Aug 23, 2018