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Investigate how we can use multiple different Natural Language Processing techniques and methods in order to automatically recognize the main actions in sports events
Jupyter NotebookCheatsheet for the Natural Language Processing course at ETH Zürich
Projects for the Probabilistic Artificial Intelligence course at ETH Zürich
PythonDeep unsupervised learning methods for the identification and characterization of TCR specificity to Sars-Cov-2
Jupyter NotebookSparsely Reconstructed Graphs (SpaRG) for robust and interpretable fMRI analysis using GNNs and VAEs.
Python🧬 Stack & domains
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🔥 Full roast
🔥 You've merged more PRs into 50k-star repos than your personal projects have total stars, and after 6+ years on GitHub your 27 total stars make your bio's Stanford and Inception titles look like resume