Scaling the performance of machine learning frameworks so they can train larger neural networks – or so the same training a lot faster – has meant that the... (more…)

We present a brief history of the field of interpretable machine learning (IML), give an overview of state-of-the-art interpretation methods, and discuss challenges. Research in IML has boomed in recent years. As young as the field is, it has over 200 yea... (more…)

ML-From-Scratch - Bare bones Python implementations of various Machine Learning models and algorithms. (more…)

Disclaimer: Feeling so-and-so about posting this on LW, but given how many people here work in ML or adjacent fields I might as well. … (more…)

Deploying models is a tricky topic. In this posts, we describe 4 key reasons why we've chosen FastAPI to deploy out Machine Learning models. (more…)