ruview-model-training
byruvnet· 120 skills
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.
How to install ruview-model-training?
ruvnet/ruview/ruview-model-training
$npx -y skills add ruvnet/ruview --skill ruview-model-trainingInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ruvnet/ruview" --skill "ruvnet/ruview/ruview-model-training"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ruvnet/ruview" that are relevant to the current task. Run `npx skills add "https://github.com/ruvnet/ruview"` and select the relevant skills, then follow their instructions.
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