Metadata-Version: 2.1
Name: bayne
Version: 0.1.2
Summary: Bayesian Neural Networks in Pytorch
Home-page: https://github.com/zinoex/bayne
Author: Frederik Baymler Mathiesen
Author-email: frederik@baymler.com
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/zinoex/bayne/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# Bayne - Bayesian Neural Networks
Pytorch/Pyro-based Bayesian Neural Networks library

Features:
- Markov Chain Monte Carlo (MCMC)
  - Full connectected neural network with ReLU, Sigmoid, or Tanh activation
  - Configurable prior
  - Hamiltonian Monte Carlo or NUTS sampler
- Bounds propagation
  - CROWN - linear bounds
  - IBP - interval bounds
  - CROWN-IBP - linear bounds

Authors:
- Frederik Baymler Mathiesen, PhD student @ TU Delft, Netherlands

