Projects in Awesome Lists tagged with bayesian-machine-learning
A curated list of projects in awesome lists tagged with bayesian-machine-learning .
https://github.com/krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
bayesian-machine-learning bayesian-methods bayesian-optimization gaussian-processes machine-learning variational-autoencoder
Last synced: 15 May 2025
https://github.com/AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
bayesian bayesian-machine-learning machine-learning python scikit-learn
Last synced: 27 Mar 2025
https://github.com/ermongroup/a-nice-mc
Code for "A-NICE-MC: Adversarial Training for MCMC"
bayesian-inference bayesian-machine-learning generative-adversarial-network generative-models markov-chain markov-chain-monte-carlo neural-networks tensorflow tensorflow-experiments
Last synced: 10 Apr 2025
https://github.com/jkfitzsimons/ipynotebook_machinelearning
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
bayesian-inference bayesian-machine-learning gaussian-processes ipython-notebook kernel-methods machine-learning
Last synced: 28 Oct 2025
https://github.com/ofai/bayesiannonparametrics.jl
BayesianNonparametrics in julia
bayesian-machine-learning bayesian-methods bayesian-nonparametric-models dirichlet-process-mixtures julia
Last synced: 13 Apr 2025
https://github.com/wbasener/bayesianml
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
bayesian bayesian-inference bayesian-machine-learning machine-learning python
Last synced: 16 Jan 2026
https://github.com/adamelkholyy/ma-probcog
Notebook from masters course in Probabilistic Cognitive Modelling @ University of Helsinki. Includes manual calculation of response distribution and Bayesian observer likelihoods.
bayesian-inference bayesian-machine-learning probabilistic-models
Last synced: 28 Aug 2025
https://github.com/ax-va/project-bayesianpy
This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.
bayesian-inference bayesian-machine-learning bayesian-network bayesian-networks bayesian-reasoning inference machine-learning machine-learning-algorithms markov-network markov-networks pgm probabilistic-graphical-models probabilistic-programming probabilistic-reasoning
Last synced: 31 Dec 2025
