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"

Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference

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.

A fast combinatorial tool that tests your password against real-world scenarios utilizing a novel Bayesian Machine Learning (BML) approach.

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

Your first library for Bayesian machine learning

Bayesian methods for machine learning course at CentraleSupélec

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

Efficient approximate 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.

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

This is about Bishops Machine Learning tools implementation in a structured way with strong OOP practices, Video implementations in Tunisian dialect

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