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8schoolsexample

8 schools example in Stan/PyMc3/Numpyro

abcpy

ABCpy package

advance-bayesian-modelling-with-pymc3

awesome-normalizing-flows

A list of awesome resources on normalizing flows.

bap

Bayesian Analysis with Python (Second Edition)

bayescogsci

Draft of book entitled An Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth

bayesflow

A Python library for amortized Bayesian workflows using generative neural networks.

bayesian-cognitive-modeling-in-pymc3

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian_optimization

Bayesian Optimization to find the global min/max of a black box function.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

blackjax

BlackJAX is a sampling library designed for ease of use, speed and modularity.

botorch

Bayesian optimization in PyTorch

brian_dash

Brian2 Dashboard

bvep

The Bayesian Virtual Epileptic Patient: a probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread

cmdstan

CmdStan, the command line interface to Stan

computational-neuroscience-uw

Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington

ddes

DDEs

deep-learning

Course: Deep Learning

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dynamax

State Space Models library in JAX

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

epileptor2d

EpileptorParameterInference

example-models

Example models for Stan

flonaco

flowgmm

flowmc

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

forecastingtimeseries

glmm-in-python

Generalized linear mixed-effect model in Python

gpflow

Gaussian processes in TensorFlow