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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

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


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Filename, size & hash SHA256 hash help File type Python version Upload date
kassandra-0.0.12-py3-none-any.whl (6.6 kB) Copy SHA256 hash SHA256 Wheel py3
kassandra-0.0.12.tar.gz (5.0 kB) Copy SHA256 hash SHA256 Source None

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