Notebooks about Bayesian methods for machine learning

Python package for Bayesian Machine Learning with scikit-learn API

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Code for "A-NICE-MC: Adversarial Training for MCMC"

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

BayesianNonparametrics in julia

This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.

Key words: Bayesian analysis, Probabilistic programming, Data analysis, Bayesian machine learning... Using Python with its library PyMC3, pandas...

Bayesian methods for machine learning course at CentraleSupélec

Bayesian Actor-Critic with Neural Networks. Developing an OpenAI Gym toolkit for Bayesian AC reinforcement learning.

Library for Bayesian machine learning

Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference with Pyro.

A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization

Exercises on Bayesian linear regression, Gaussian Processes, Metropolis-Hastings Inference for Bayesian Logistic Regression, K-means and Probabilistic PCA. Made at Institut EURECOM (FR)

Assignment code for Bayesian ML course on Coursera

Platform for automatic processing of (aq-tngapms) Air Quality using TNGAPMS

Bayesian Machine Learning

Bayesian Machine Learning Project