bayesian-machine-learning 开源项目推荐（40 个）

krasserm /bayesian-machine-learning

关于机器学习的Bayesian方法的笔记本

AmazaspShumik /sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

gradientinstitute /aboleth

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

ermongroup /a-nice-mc

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

StochasticTree /stochtree

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

kapelner /bartMachine

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

jkfitzsimons /IPyNotebook_MachineLearning

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

rlogger /bayes-hdc

Hyperdimensional computing in JAX, with statistical guarantees.

OFAI /BayesianNonparametrics.jl

BayesianNonparametrics in julia

bayesml /BayesML

BayesML: your first library for Bayesian machine learning

bertdv /mlss-2026

MLSS-2026 Melbourne Bert's lectures

wbasener /BayesianML

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

VerisimilitudeX /PasswordLLM

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

vince-CV /probabilistic-machine-learning

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

sleglaive /BayesianML

Bayesian methods for machine learning course at CentraleSupélec

jlparkI /xGPR

Efficient approximate Bayesian machine learning

ThanhChuong12 /Supervised-Learning-Regression-Classification

Implementation of Linear Models for Regression and Classification from scratch using Python & Numpy.

SSubhnil /BAC-DAC-gym

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

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.

shmouses /AI-enabled-HTE-Li-Production

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