Bayesian Neural Networks in Pytorch
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
bayne-0.1.0.tar.gz
(20.2 kB
view hashes)
Built Distribution
bayne-0.1.0-py3-none-any.whl
(21.0 kB
view hashes)