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Package for implementing bayesian deep learning models in python.

Project description



I'm open to all feedback, commentary, and suggestions as long as they are constructive and polite.


James Montgomery - Initial work -


This project is licensed under the MIT License - see the 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.


Basic Examples

Regression Examples

Classification Examples (TBD)

  • Multi Layer Perceptron
  • Gaussian Process
  • Bayesian Neural Network with MCDropout
  • Bayesian Neural Network with Variational Inference


Testing is an important part of creating maintainable, production grade code.

Running the unit tests

Running the style tests


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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