Hadondish/LowEarthOrbitMachineLearningSimilarityScore-with-Location
View on GitHub ↗Related repositories →A Low earth orbit for similarity of objects that find locations of debris upon different movements. Technologies used include a similarly score to run aginst longitude/latitude space data, (weaviate's rag), then using optimization to run it against a context score. I stored these al in a vector database and used its location for the embedding.
active 2024-03-27 → 2024-03-27 (UTC)
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Line chart, 1 days from 2024-03-27 to 2024-03-27. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Hadondish | 1 | 1 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.