Published January 27, 2022
| Version v0.2.0
Software
Open
Bayesian-Torch: Bayesian neural network layers for uncertainty estimation
Contributors
- 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
Files
(104.9 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/IntelLabs/bayesian-torch/tree/v0.2.0-alpha (URL)