Update README.md

Author: benvanwerkhoven

README.md

@@ -84,12 +84,12 @@ More [examples here](https://kerneltuner.github.io/kernel_tuner/stable/examples.
   - [Optimization algorithms](https://kerneltuner.github.io/kernel_tuner/stable/optimization.html)
   - [Mixed-precision & Accuracy tuning](https://github.com/KernelTuner/kernel_tuner/blob/master/examples/cuda/accuracy.py)
   - [Custom metrics & tuning objectives](https://kerneltuner.github.io/kernel_tuner/stable/metrics.html)
-- **Kernel Tuner Tutorial** [slides (PDF)](https://github.com/KernelTuner/kernel_tuner_tutorial/blob/master/slides/2022_SURF/SURF22-Kernel-Tuner-Tutorial.pdf), hands-on:
+- **Kernel Tuner Tutorial** slides [[PDF]](https://github.com/KernelTuner/kernel_tuner_tutorial/blob/master/slides/2022_SURF/SURF22-Kernel-Tuner-Tutorial.pdf), hands-on:
   - Vector add example [[.ipynb](https://github.com/KernelTuner/kernel_tuner_tutorial/blob/master/hands-on/cuda/00_Kernel_Tuner_Introduction.ipynb)] [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/KernelTuner/kernel_tuner_tutorial/blob/master/hands-on/cuda/00_Kernel_Tuner_Introduction.ipynb)
   - Tuning thread block dimensions [[.ipynb](https://github.com/KernelTuner/kernel_tuner_tutorial/blob/master/hands-on/cuda/01_Kernel_Tuner_Getting_Started.ipynb)] [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/KernelTuner/kernel_tuner_tutorial/blob/master/hands-on/cuda/01_Kernel_Tuner_Getting_Started.ipynb)
   - Search space restrictions & output verification [[.ipynb](https://github.com/KernelTuner/kernel_tuner_tutorial/blob/master/hands-on/cuda/02_Kernel_Tuner_Intermediate.ipynb)] [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/KernelTuner/kernel_tuner_tutorial/blob/master/hands-on/cuda/02_Kernel_Tuner_Intermediate.ipynb)
   - Visualization & search space optimization [[.ipynb](https://github.com/KernelTuner/kernel_tuner_tutorial/blob/master/hands-on/cuda/03_Kernel_Tuner_Advanced.ipynb)] [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/KernelTuner/kernel_tuner_tutorial/blob/master/hands-on/cuda/03_Kernel_Tuner_Advanced.ipynb)
-- **Energy Efficient GPU Computing** tutorial [slides (PDF)](https://github.com/KernelTuner/kernel_tuner_tutorial/blob/master/slides/2023_Supercomputing/SC23.pdf), hands-on:
+- **Energy Efficient GPU Computing** tutorial slides [[PDF]](https://github.com/KernelTuner/kernel_tuner_tutorial/blob/master/slides/2023_Supercomputing/SC23.pdf), hands-on:
   - Kernel Tuner for GPU energy measurements [[.ipynb](https://github.com/KernelTuner/kernel_tuner_tutorial/blob/master/energy/00_Kernel_Tuner_Introduction.ipynb)] [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/KernelTuner/kernel_tuner_tutorial/blob/master/energy/00_Kernel_Tuner_Introduction.ipynb)
   - Code optimizations for energy [[.ipynb](https://github.com/KernelTuner/kernel_tuner_tutorial/blob/master/energy/01_Code_Optimizations_for_Energy.ipynb)] [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/KernelTuner/kernel_tuner_tutorial/blob/master/energy/01_Code_Optimizations_for_Energy.ipynb)
   - Mixed precision and accuracy tuning [[.ipynb](https://github.com/KernelTuner/kernel_tuner_tutorial/blob/master/energy/02_Mixed_precision_programming.ipynb)] [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/KernelTuner/kernel_tuner_tutorial/blob/master/energy/02_Mixed_precision_programming.ipynb)