Four short links: 6 August 2018

GPU Notebooks, Reproducible Experiments, History of Fears, and Debloating Code

By Nat Torkington
August 6, 2018
Four short links
  1. Kernels — Kaggle hosting Jupyter Notebooks with GPUs.
  2. SpeedrunA no-strings-attached toolkit to help you deploy and manage your machine learning experiments. The idea is to equip you with the tools you need to have well-documented and reproducible experiments going, but without getting in your way.
  3. Learn faster. Dig deeper. See farther.

    Join the O'Reilly online learning platform. Get a free trial today and find answers on the fly, or master something new and useful.

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  4. Ancient Dreams of Intelligent Machines (Nature) — the extraordinary history of cultural responses to automata.
  5. Trimmeran application specialization tool that leverages user-provided configuration data to specialize an application to its deployment context. The specialization process attempts to eliminate the application functionality that is unused in the user-defined context. Our evaluation demonstrates Trimmer can effectively reduce code bloat. For 13 applications spanning various domains, we observe a mean binary size reduction of 21% and a maximum reduction of 75%. Description of how it works, but no source, alas.
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