Allow me to introduce myself
I am also a scientific Python developer, maintainter of the polylearn library for factorization machines and polynomial networks in Python, and sometimes contributing to the scikit-learn machine learning library. I am collaborating with the Center for Computational Linguistics at the University of Bucharest.
- Our regularized framework for sparse and structured attention (NIPS‘17) was featured on the NLP Highlights podcast!
- Released code for our NIPS‘17 paper on A Regularized Framework for Sparse and Structured Neural Attention.
- Check out our ACL‘17 paper on Argument mining with structured SVMs and RNNs! Code and data are available.
Whenever I code something that I think is cool and could be useful, I blog about it.
You can read about the fonts I’m using on this page and I’m sure you’ll find it interesting, especially if you’re mathematically inclined. Then again, people don’t usually get my math jokes, so I won’t get my hopes up.