I’ve just finished reading Fast.ai book chapter on RNN’s, and Kaggle announced a new competition to predict COVID-19 mRNA Vaccine Degradation. The models developed in this competition should help bring the COVID-19 vaccine to mass production. I’ve seen some posts in the past on applying language modeling to RNN sequences, and decided to try out the fastai approach I’ve just learned to this competition.
I just finished the kernel and was excited to see it working reasonably well, given limited amount of tuning I’ve done so far! Here’s the kernel link: https://www.kaggle.com/thedrcat/openvaccine-lstm-fastai
I’m so excited about it, thanks to Jeremy, Rachel and Sylvain for the course, the book, fastai library and everything!!!