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Use nbviewer link for NCP notebook
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README.md

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