"Hello there!" - Obi-Wan Kenobi
This page's purpose is mostly to highlight my GitHub repositories and projects!
If you want to find out more about me follow this link.
Here is an overview of projects that I published on GitHub:
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Transforms Instagram's data - that you get via the Data Download Tool - to a readable format:
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A python script to download images and videos in full resolution from VSCO.
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A small tool to generate mass spectra from names, words, sentences or any alphabetic strings. Uses MS2PIP for spectrum prediction.
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Running Apache Mahout in Docker.
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Analyzing Chess Games with Process Mining.
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A computer vision project to mark objects with a bounding box as close-fitting as possible.
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Automatic identification of important interactions and interaction-frequency-based scoring in protein-ligand complexes.
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Extract protein-ligand interactions and their frequencies to score and predict the activity of a complex.
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An introduction to Natural Language Processing (NLP) with Python and R.
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A "from scratch" implementation of classic feed-forward neural networks for binary/multi-class classification using ReLU activations, cross entropy loss and sigmoid/softmax output.
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A simple game to illustrate how peptide identification in mass spectra works using database search engines like MS Amanda.
- Website: michabirklbauer.github.io
- Mail: micha.birklbauer@gmail.com
- Telegram: micha_birklbauer