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33[ ![ DOI] ( https://zenodo.org/badge/DOI/10.5281/zenodo.4050922.svg )] ( https://doi.org/10.5281/zenodo.4050922 )
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5- This repository is a collection of notebooks related to * Bayesian Machine Learning* . The following links display
5+ This repository is a collection of notebooks about * Bayesian Machine Learning* . The following links display
66some of the notebooks via [ nbviewer] ( https://nbviewer.jupyter.org/ ) to ensure a proper rendering of formulas.
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8- - [ Reliable uncertainty estimates for neural network predictions] ( https://github.com /krasserm/bayesian-machine-learning/blob/dev/noise-contrastive-priors/ncp.ipynb ) .
8+ - [ Reliable uncertainty estimates for neural network predictions] ( https://nbviewer.jupyter.org/github /krasserm/bayesian-machine-learning/blob/dev/noise-contrastive-priors/ncp.ipynb ) .
99 Applies noise contrastive priors to Bayesian neural networks to get more reliable uncertainty estimates for OOD data.
1010 Implemented with Tensorflow 2 and Tensorflow Probability.
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