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.

Your first library for Bayesian machine learning

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.

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.

AI-enabled lithium carbonate production with integrated CO2 capture, boosting and optimizing sustainable Li-ion battery production.

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