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Published January 27, 2022 | Version v0.2.0
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Bayesian-Torch: Bayesian neural network layers for uncertainty estimation

  • 1. Intel Labs
  • 1. University of Oxford
  • 2. Intel Labs

Description

Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks. Bayesian-Torch is designed to be flexible and seamless in extending a deterministic deep neural network architecture to corresponding Bayesian form by simply replacing the deterministic layers with Bayesian layers.

Files

IntelLabs/bayesian-torch-v0.2.0-alpha.zip

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