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 # DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization
 [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
 [![Tests](https://github.com/automl/DEHB/actions/workflows/pytest.yml/badge.svg)](https://github.com/automl/DEHB/actions/workflows/pytest.yml)
-[![docs](https://github.com/automl/DEHB/actions/workflows/docs.yml/badge.svg)](https://github.com/automl/DEHB/actions/workflows/docs.yml)
+[![docs](https://github.com/automl/DEHB/actions/workflows/docs.yml/badge.svg)](https://automl.github.io/DEHB/)
 [![Coverage Status](https://coveralls.io/repos/github/automl/DEHB/badge.svg)](https://coveralls.io/github/automl/DEHB)
 [![PyPI](https://img.shields.io/pypi/v/dehb)](https://pypi.org/project/dehb/)
 [![Static Badge](https://img.shields.io/badge/python-3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11%20-blue)](https://pypi.org/project/dehb/)