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bayesian-machine-learning

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krasserm /bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

machine-learning bayesian-methods gaussian-processes bayesian-optimization bayesian-machine-learning variational-autoencoder

UpdatedMar 6, 2024
Jupyter Notebook

AmazaspShumik /sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

python machine-learning scikit-learn bayesian bayesian-machine-learning

UpdatedSep 22, 2021
Jupyter Notebook

gradientinstitute /aboleth

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

deep-neural-networks deep-learning tensorflow bayesian-inference gaussian-processes bayesian-machine-learning

UpdatedJul 27, 2021
Python

ermongroup /a-nice-mc

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

tensorflow markov-chain generative-adversarial-network neural-networks tensorflow-experiments bayesian-inference markov-chain-monte-carlo bayesian-machine-learning generative-models

UpdatedJul 20, 2018
Jupyter Notebook

StochasticTree /stochtree

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

machine-learning bayesian-methods bart decision-trees bayesian-machine-learning probabilistic-models gradient-boosted-trees tree-ensembles

UpdatedNov 26, 2025
C++

jkfitzsimons /IPyNotebook_MachineLearning

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

machine-learning ipython-notebook bayesian-inference kernel-methods gaussian-processes bayesian-machine-learning

UpdatedJul 27, 2015

OFAI /BayesianNonparametrics.jl

BayesianNonparametrics in julia

julia bayesian-methods bayesian-machine-learning bayesian-nonparametric-models dirichlet-process-mixtures

UpdatedSep 6, 2018
Julia

wbasener /BayesianML

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

python machine-learning bayesian bayesian-inference bayesian-machine-learning

UpdatedJan 25, 2023
Jupyter Notebook

BayesML

bayesml /BayesML

BayesML: your first library for Bayesian machine learning

machine-learning statistics bayesian-inference variational-inference bayesian-statistics bayesian-machine-learning bayesian-decision-theory

UpdatedNov 10, 2025
Python

VerisimilitudeX /PasswordLLM

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

rust ai ml bayesian-methods gpt hacktoberfest bayesian-machine-learning

UpdatedJan 10, 2025
Rust

vince-CV /probabilistic-machine-learning

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

monte-carlo uncertainty data-analysis bayesian-machine-learning bayesian-analysis

UpdatedMay 10, 2019
Jupyter Notebook

sleglaive /BayesianML

Bayesian methods for machine learning course at CentraleSupélec

machine-learning bayesian-methods bayesian-machine-learning

UpdatedJul 13, 2022
Jupyter Notebook

SSubhnil /BAC-DAC-gym

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

reinforcement-learning gym bayesian-optimization bayesian-machine-learning continuous-control actor-critic model-free-rl bayesian-reinforcement-learning

UpdatedAug 14, 2021
Python

jlparkI /xGPR

Efficient approximate Bayesian machine learning

machine-learning gaussian-processes bayesian-machine-learning random-fourier-features

UpdatedSep 24, 2025
Python

itsayushthada /Probabislitc-Deep-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.

deep-learning bayesian-inference variational-inference bayesian-machine-learning pyro bayesian-neural-networks tensorflow-probability tensorflow-2 probabilistic-deep-learning probabilistic-modelling

UpdatedJun 16, 2021
Jupyter Notebook

AI-enabled-HTE-Li-Production

shmouses /AI-enabled-HTE-Li-Production

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

sustainability ai active-learning bayesian-machine-learning co2-emissions lithium-ion-batteries high-throughput-experimentation lithium-production co2-capture sustainable-battery-production

UpdatedSep 30, 2024
Jupyter Notebook

ian-flores /bayesian_and_ml_papers

machine-learning bayesian gaussian-processes bayesian-machine-learning

UpdatedApr 4, 2019

rgualan /soton-data-science-thesis

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

visualization machine-learning air pollution sensors bayesian-machine-learning spatio-temporal

UpdatedSep 7, 2017
R

alifradi /Bishops-PRML-implementations

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

python prml bayesian-machine-learning

UpdatedNov 19, 2024
Python

sbrml /gaussian_processes

machine-learning gaussian-processes variational-inference bayesian-machine-learning gplvm sparse-gaussian-processes

UpdatedAug 23, 2022
Jupyter Notebook

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