correct workflow badges link

automl · Sep 25, 2024 · c61b462 · c61b462
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diff --git a/README.md b/README.md
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 [![PyPI Version](https://img.shields.io/pypi/v/dacbench.svg)](https://pypi.python.org/pypi/dacbench)
 ![Python](https://img.shields.io/badge/Python-3.10-3776AB)
 ![License](https://img.shields.io/github/license/automl/dacbench)
-[![Test](https://github.com/automl/dacbench/actions/workflows/pytest.yaml/badge.svg)](https://github.com/automl/dacbench/actions/workflows/pytest.yaml)
-[![Doc Status](https://github.com/automl/dacbench/actions/workflows/docs.yaml/badge.svg)](https://github.com/automl/dacbench/actions/workflows/docs.yaml)
+[![Test](https://github.com/automl/dacbench/actions/workflows/pytest.yml/badge.svg)](https://github.com/automl/DACBench/actions/workflows/pytest.yml)
+[![Doc Status](https://github.com/automl/DACBench/actions/workflows/docs.yml/badge.svg)](https://github.com/automl/DACBench/actions/workflows/docs.yml)
 
 DACBench is a benchmark library for Dynamic Algorithm Configuration.
 Its focus is on reproducibility and comparability of different DAC methods as well as easy analysis of the optimization process.