bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

Python package for Bayesian Machine Learning with scikit-learn API

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

Bayesian additive regression trees (BART) for regression, classification, uncertainty quantification, and variable selection in R, with optional GPU acceleration.

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

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

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

BayesianNonparametrics in julia

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

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

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

Bayesian methods for machine learning course at CentraleSupélec

Hyperdimensional computing in JAX, with statistical guarantees.

Efficient approximate Bayesian machine learning

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

BayesML: your first library for Bayesian machine learning

Repo of udemy bayesian machine learning A/B test

A 6-week research-grade course in Bayesian Machine Learning & Deep Learning. Covers conjugate families, Laplace approximations, from-scratch MCMC (HMC/NUTS), Variational Inference (ELBO, Normalizing Flows), Gaussian Processes (Sparse GPs), and Bayesian Neural Networks tracking epistemic vs. aleatoric uncertainty.