Edward Models

Description

(Deep) Bayesian Modelling using Edward (http://edwardlib.org/) & Tensorflow.

changepoint_detection.py - detect the change date of the number of received mail
bayesian_linear_regression.py
bayesian_logistic_regression.py
polynomial_regression.py
bayesian_neural_network.ipynb - Bayesian Neural Network
gp.ipynb - Gaussian Process Regression
multi_normal.py - Variational inference and sampling from Multivariate Normal distribution

If you find an issue or have some questions, please contact Wataru Hashimoto.

Name		Name	Last commit message	Last commit date
Latest commit History 41 Commits
.gitignore		.gitignore
README.md		README.md
automated_transformations.ipynb		automated_transformations.ipynb
bayesian_linear_regression.py		bayesian_linear_regression.py
bayesian_logistic_regression.py		bayesian_logistic_regression.py
bayesian_neural_network.ipynb		bayesian_neural_network.ipynb
changepoint_detection.py		changepoint_detection.py
deep_gaussian_process.ipynb		deep_gaussian_process.ipynb
example_bayesflow.ipynb		example_bayesflow.ipynb
gp.ipynb		gp.ipynb
multi_normal.py		multi_normal.py
polynomial_regression.py		polynomial_regression.py