bayestorch 0.0.1

Bayesian deep learning library for fast prototyping based on PyTorch

BayesTorch

Welcome to bayestorch, a Bayesian deep learning library for fast prototyping based on PyTorch. It provides the basic building blocks for the following Bayesian inference algorithms:

• Bayes by Backprop (BBB)
• Markov Chain Monte Carlo (MCMC)
• Stein variational gradient descent (SVGD)

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🛠️️ Installation

Using Pip

First of all, install Python 3.6 or later. Open a terminal and run:

pip install bayestorch

From source

First of all, install Python 3.6 or later. Clone or download and extract the repository, navigate to <path-to-repository>, open a terminal and run:

pip install -e .

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▶️ Quickstart

See the examples in examples/mnist and examples/regression.

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📧 Contact

[e-mail]

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