rUv
7f5a692632
feat(nvsim): full simulator stack — Rust crate, dashboard, server, App Store, Ghost Murmur [ADR-089/090/091/092/093]
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Squashed merge of feat/nvsim-pipeline-simulator (29 commits).
## Shipped
- ADR-089 nvsim crate (Accepted) — 50/50 tests, ~4.5 M samples/s, pinned witness cc8de9b01b0ff5bd…
- ADR-092 dashboard implementation (Implemented) — 8/12 §11 gates ✅ , 4/12 ⚠ (external infra)
- ADR-093 dashboard gap analysis (Implemented) — 21/21 catalogued gaps closed
- Plus ADR-090 (proposed conditional) and ADR-091 (proposed research-only)
## Live deploy
https://ruvnet.github.io/RuView/nvsim/
## Infra
- nvsim-server Dockerfile + GHCR publish workflow (.github/workflows/nvsim-server-docker.yml)
- axe-core + Playwright cross-browser CI (.github/workflows/dashboard-a11y.yml)
- gh-pages auto-deploy workflow already in place (preserves observatory + pose-fusion siblings)
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-27 12:41:01 -04:00
ruv
8b57a6f64c
docs: update README with ADR-045–048, Observatory, adaptive classifier, AMOLED display
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- Update ADR count from 44 to 48
- Add adaptive classifier (ADR-048) to Intelligence features
- Add Observatory visualization (ADR-047) and AMOLED display (ADR-045) to Deployment features
- Update screenshot to v2-screen.png
- Add ADR-045 (AMOLED), ADR-046 (Android TV), ADR-047 (Observatory), DDD deployment model
- Add AMOLED display firmware (display_hal, display_task, display_ui, LVGL config)
- Add Observatory UI (13 Three.js modules, CSS, HTML entry point)
- Add trained adaptive model JSON
- Update .gitignore for managed_components, recordings, .swarm
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-05 10:20:48 -05:00
ruv
57141ff707
Update README hero image to ruview-small-gemini
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Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-04 10:37:42 -05:00
ruv
6fea56c4a9
Add RuView hero image to top of README
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Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-04 10:19:41 -05:00
ruv
51140f599f
fix: update image references and remove obsolete screenshots
2026-03-02 11:11:58 -05:00
ruv
6a408b30e8
Refactor code structure for improved readability and maintainability
2026-03-02 11:07:41 -05:00
ruv
135d7d3d8c
docs: add live pose detection screenshot to README
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Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-02 11:00:02 -05:00
ruv
4cabffa726
Implement feature X to enhance user experience and optimize performance
2026-02-28 23:51:23 -05:00
rUv
16c50abca3
Add files via upload
2026-01-13 16:04:26 -05:00
rUv
f3c77b1750
Add WiFi DensePose implementation and results
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- Implemented the WiFi DensePose model in PyTorch, including CSI phase processing, modality translation, and DensePose prediction heads.
- Added a comprehensive training utility for the model, including loss functions and training steps.
- Created a CSV file to document hardware specifications, architecture details, training parameters, performance metrics, and advantages of the model.
2025-06-07 05:23:07 +00:00
