Package for implementing bayesian deep learning models in python.
Project description
Kassandra
Description.
I'm open to all feedback, commentary, and suggestions as long as they are constructive and polite.
Authors
James Montgomery - Initial work - jamesmontgomery.us
License
This project is licensed under the MIT License - see the LICENSE.md file for details
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Installing
Basic Examples
Regression Examples
- Multi Layer Perceptron
- Gaussian Process
- Bayesian Neural Network with MCDropout
- Bayesian Neural Network with Variational Inference
Classification Examples (TBD)
- Multi Layer Perceptron
- Gaussian Process
- Bayesian Neural Network with MCDropout
- Bayesian Neural Network with Variational Inference
Testing
Testing is an important part of creating maintainable, production grade code.
Running the unit tests
Running the style tests
Acknowledgments
Project details
Release history Release notifications | RSS feed
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