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active 2025-08-152025-08-15 (UTC)

Complete coverage26,793 / 26,793 hourly files (100%) · 2 absent upstream2023-08-152026-09-04 (UTC)
Events
58
Pushes
1
Pull requests
0
Issues
54
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-08-15 to 2025-08-15. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 54 total, peak 54 in a day. Comments: 3 total, peak 3 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
smithandrewk58103

Recent activity

Latest issues, pull requests and releases

  • Issue comment#78smithandrewk2025-08-15 04:25
    Set up React + Shadcn/ui design system foundation
  • Issue comment#78smithandrewk2025-08-15 03:40
    Set up React + Shadcn/ui design system foundation
  • Issue#77smithandrewk2025-08-15 03:36
    Migrate dashboard to React + Shadcn/ui frontend
  • Issue comment#1smithandrewk2025-08-15 03:33
    Create basic web dashboard with device list and last ping status
  • Issue#73smithandrewk2025-08-15 03:11
    Create model personalization system
  • Issue#72smithandrewk2025-08-15 03:11
    Add automated model retraining triggers
  • Issue#71smithandrewk2025-08-15 03:11
    Implement model A/B testing framework
  • Issue#70smithandrewk2025-08-15 03:10
    Create active learning algorithm
  • Issue#67smithandrewk2025-08-15 03:10
    Design server-side training pipeline
  • Issue#66smithandrewk2025-08-15 03:10
    Implement model warm-up and caching strategies
  • Issue#65smithandrewk2025-08-15 03:10
    Create neural network debugging tools
  • Issue#64smithandrewk2025-08-15 03:09
    Add neural network performance optimization
  • Issue#63smithandrewk2025-08-15 03:09
    Implement feature extraction pipeline for neural networks
  • Issue#62smithandrewk2025-08-15 03:09
    Add custom neural network architecture support
  • Issue#61smithandrewk2025-08-15 03:09
    Create real-time neural network inference pipeline
  • Issue#60smithandrewk2025-08-15 03:09
    Implement neural network model loading system
  • Issue#59smithandrewk2025-08-15 03:09
    Integrate PyTorch Lite runtime
  • Issue#56smithandrewk2025-08-15 03:08
    Implement basic model performance tracking
  • Issue#54smithandrewk2025-08-15 03:08
    Create server-side model management system
  • Issue#53smithandrewk2025-08-15 03:08
    Implement activity detection confidence thresholds
  • Issue#52smithandrewk2025-08-15 03:08
    Add model inference engine foundation
  • Issue#50smithandrewk2025-08-15 03:08
    Implement basic activity detection algorithms
  • Issue#49smithandrewk2025-08-15 03:08
    Design model versioning system
  • Issue#48smithandrewk2025-08-15 03:07
    Add data synchronization monitoring
  • Issue#47smithandrewk2025-08-15 03:07
    Implement server-side data processing pipeline

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.