Stars
Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
LaTeX package and annotated examples for annotating equations using TikZ.
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
A Python implementation of the Speech Intelligibility Index
A playbook for systematically maximizing the performance of deep learning models.
The code for multi-channel source separation and dereverberation such as FastMNMF1, FastMNMF2, and AR-FastMNMF2.
A fast implementation of bss_eval metrics for blind source separation
A community-maintained Python framework for creating mathematical animations.