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Fix broken link, make http links https #1201

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Aug 2, 2021
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Fix broken link, make http links https #1201

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -2,7 +2,7 @@

**auto-sklearn** is an automated machine learning toolkit and a drop-in replacement for a [scikit-learn](https://scikit-learn.org) estimator.

Find the documentation **[here](http://automl.github.io/auto-sklearn/)**. Quick links:
Find the documentation **[here](https://automl.github.io/auto-sklearn/)**. Quick links:
* [Installation Guide](https://automl.github.io/auto-sklearn/master/installation.html)
* [Releases](https://automl.github.io/auto-sklearn/master/releases.html)
* [Manual](https://automl.github.io/auto-sklearn/master/manual.html)
Expand Down Expand Up @@ -30,7 +30,7 @@ If you use auto-sklearn in a scientific publications, we would appreciate citati
*Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum and Frank Hutter*
Advances in Neural Information Processing Systems 28 (2015)

[Link](http://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning.pdf) to publication.
[Link](https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning.pdf) to publication.
```
@inproceedings{feurer-neurips15a,
title = {Efficient and Robust Automated Machine Learning},
Expand Down Expand Up @@ -59,4 +59,4 @@ arXiv:2007.04074 [cs.LG], 2020

----------------------------------------

Also, have a look at the blog on [automl.org](automl.org) where we regularly release blogposts.
Also, have a look at the blog on [automl.org](https://automl.org) where we regularly release blogposts.