Baseline: Strong, Extensible, Reproducible, Deep Learning Baselines for NLP

Daniel Pressel, Brian Lester, Sagnik Ray Choudhury, Matt Barta, Yanjie Zhao, Amy Hemmeter

Sep 30, 2018 NIPS 2018 Workshop MLOSS Submission readers: everyone
  • Abstract: Natural Language Processing is now dominated by deep learning models. Baseline (https://github.com/dpressel/baseline) is a library to facilitate reproducible research and fast model development for NLP with deep learning. It provides easily extensible implementations and abstractions for data loading, model development, training, hyper-parameter tuning, deployment to production, and a leaderboard to track experimental results.
  • TL;DR: Baseline is a library to facilitate reproducible research and fast model development for deep learning models targeted at NLP, demo at https://www.youtube.com/watch?v=AwTjp1RihvU
  • Keywords: deep learning, open source software, baseline, natural language processing
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