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RubyPC/Anomaly_Detection_with_cGANs

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A proof of concept for mining JWST NIRcam imaging data for anomalous galaxy populations with a conditional Generative Adversarial Network.

active 2023-09-12 → 2024-08-02 (UTC)

Complete coverage26,334 / 26,334 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-16 (UTC)
Events
22
Pushes
16
Pull requests
0
Issues
0
Stars
1
Forks
1

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Line chart, 326 days from 2023-09-12 to 2024-08-02. Pushes: 16 total, peak 13 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: 1 total, peak 1 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

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RubyPC161600

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  • ReleaseRubyPC2023-10-03 08:40
    Using cGANs for Anomaly Detection: Identifying Astronomical Anomalies in JWST NIRcam Imaging

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.