Data Science & Analytics
RuView Model Training
Train RuView models — camera-free WiFlow pose (10 sensor signals, no labels), camera-supervised pose (MediaPipe + ESP32 CSI → 92.9% PCK@20, ADR-079), RuVector contrastive embeddings (AETHER, ADR-024), domain generalization (MERIDIAN, ADR-027), local SNN environment adaptation, plus GPU training on GCloud and Hugging Face publishing. Use when building, fine-tuning, evaluating, or shipping a model.
- Publisher / source
- ruvnet/RuView (found on GitHub top repositories)
- Upstream record
- ruvnet/RuView
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
2cf816958effbeef6b6aa7b845b851c39787d6ea88c38e0f1d9157394fc41e0e