bayesian-machine-learning
There are 25 repositories under bayesian-machine-learning topic.
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
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"
jkfitzsimons/IPyNotebook_MachineLearning
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
OFAI/BayesianNonparametrics.jl
BayesianNonparametrics in 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.
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
SSubhnil/BAC-DAC-gym
Bayesian Actor-Critic with Neural Networks. Developing an OpenAI Gym toolkit for Bayesian AC reinforcement learning.
jlparkI/xGPR
Efficient approximate Bayesian machine learning
yuta-nakahara/BayesML
Library for Bayesian machine 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.
AndreaGhiglione/advanced-statistical-inference
Exercises on Bayesian linear regression, Gaussian Processes, Metropolis-Hastings Inference for Bayesian Logistic Regression, K-means and Probabilistic PCA. Made at Institut EURECOM (FR)
ishaanb92/BayesianML
Assignment code for Bayesian ML course on Coursera
rgualan/soton-data-science-thesis
Platform for automatic processing of (aq-tngapms) Air Quality using TNGAPMS
su-boussard-lab/acu-uncertainty-estimation
A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization
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.
EhtashamBillah/Bayesian-Machine-Learning-in-Breast-Cancer-Diagnosis
The aim of this project is to apply Bayesian Machine Learning Algorithm to predict the diagnosis condition of the patients.
o-ikne/BML-Project
Bayesian Machine Learning Project
ck-unifr/udemy-bayesian-machine-learning-ab-test
Repo of udemy bayesian machine learning A/B test
Matthieu-Carreau/Stein-Variational-Gradient-Descent
Numerical experiments to illustrate theoretical points of the article: A non-asymptotic analysis for stein variational gradient descent, Korba et al., 2021
wataruhashimoto52/bayesian-inference-cpp
Bayesian Machine Learning