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aesara

Aesara is a fork of the Theano library that is maintained by the PyMC developers. It was previously named Theano-PyMC.

apps_tzakiris_2013

Code for Replication of 'Predictive codes of familiarity and context during the perceptual learning of facial identities' [Apps & Tzakiris (2013)]

arviz

Exploratory analysis of Bayesian models with Python

awesome-bayesian-deep-learning

A curated list of resources dedicated to bayesian deep learning

bap

Bayesian Analysis with Python (Second Edition)

bayesfactor

A Matlab package for Bayes Factor statistical analysis

bayesian-deep-learning

Notes and codes of the topic "Bayesian deep learning"

bayesian-sets

Bayesian Sets (NIPS 2006).

bayesianfuzzyclustering

Matlab implementation of the Bayesian Fuzzy Clustering algorithms. See related paper, doi: 10.1109/TFUZZ.2014.2370676

bayesiansvm

Source code of the Bayesian SVM described in the paper by Wenzel et al. "Bayesian Nonlinear Support Vector Machines for Big Data"

birds

Bird dataset for perceptual learning

coupled-bayesian-sets

Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction (ECML-PKDD 2012).

dbda-python

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

dlpl

Deep Learning and Perceptual Learning

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

imedtrainer

Perceptual learning in Medical Images

jupyterstan

Define Stan models in jupyter notebook cells using magics

nonlinearorchaoticbayesianstatespacemodels

Code for estimating chaotic and nonlinear statespacemodels. See http://www.pnas.org/content/110/42/E3975

perceptual_learning-

Code in MATLAB to study stimulus irrelevant Perceptual Learning

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

pymc

PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)

pymc-examples

Examples of PyMC3 models, including a library of Jupyter notebooks.

pymc3

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

pymc4

Pre-release development of high-level probabilistic programming interface for TensorFlow

pypgm

Probability Graph Model Library

pystan

PyStan, the Python interface to Stan

pystan-sklearn

pytorch-crf

Conditional random field in PyTorch.

resources

PyMC3 educational resources

rethinking

Statistical Rethinking course and book package