Four short links: 10 March 2020
ML Lifecycle, Eventing, Offline Support, and TensorFlow Quantum
- MLflow — an open source platform to manage the ML lifecycle, including experimentation, reproducibility, and deployment. It currently offers three components: tracking, projects, and models.
- Eventing Facets (Tim Bray) — the word “eventing” makes my skin crawl, but this series of posts has A+ info in it.
- Workbox — JavaScript Libraries for adding offline support to web apps, from Google.
- TensorFlow Quantum — a library for hybrid quantum-classical machine learning. See also arXiv paper, Google AI Blog, and source.
