BaaL: Bayesian Active Learning

BaaL is an active learning library developed at ElementAI. This repository contains techniques and reusable components to make active learning accessible for all. Read the documentation at https://baal.readthedocs.io. Our paper can be read on arXiv. It includes tips and tricks to make active learning usable in production. In this blog post, we present our library. For a quick introduction to BaaL and Bayesian active learning, please see these links:

• Seminar with Label Studio
• User guide
• Bayesian active learning presentation