Spiral Time

Geometric reframing of temporal structure for machine learning

Machine LearningResearchUnknownOpen source
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github.com

About Spiral Time

Spiral Time is a geometric reframing of temporal structure that decomposes time into radial and angular coordinates. It is used for machine learning and has been shown to improve performance in forecasting and other applications.

Description summarised by AI from the sources listed below.

Key features

  • geometric reframing of temporal structure
  • Geometric reframing of temporal structure
  • radial and angular coordinates
  • Radial and angular coordinates
  • decomposition of time
  • Decomposition of time

Use cases

  • forecasting
  • anomaly detection
  • battery health modeling
  • drug dosing
  • financial cycle modeling
  • climate science
  • neuroscience

Pricing

Pricing model: Unknown — we have not been able to confirm pricing from the official website, so nothing is stated here.

Pricing summarised by AI from the sources listed below.