Four short links: 23 May 2019

Deep Fakes, GPU-Friendly Codec, Retro OS, and Production Readiness

  1. Few-Shot Adversarial Learning of Realistic Neural Talking Head Models — astonishing work, where you can essentially do deep-fakes from one or two photos. See the YouTube clip for amazing footage of it learning from historical photos and even a painting. (via Dmitry Ulyanov)
  2. Basis Universal GPU Texture Codec — open source codec for a super-compressed image file format that can be quickly transcoded to something ready for GPUs. See this Hacker News comment for a very readable explanation of why it’s important for game developers.
  3. Serenity — open source OS for x86 machines, which seems like Unix with Windows 98 UI.
  4. The ML Test Score: A Rubric for ML Production Readiness and Technical Debt Reduction — We present a rubric as a set of 28 actionable tests, and offer a scoring system to measure how ready for production a given machine learning system is. With an implementation in Excel.

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