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windows7lover/DTE-DynamicTrainingEngine

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Generic building-block toolbox for training neural networks with adaptive and recursive execution. It provides reusable components to control iteration, stopping, and unrolling during training, enabling different strategies to be composed without hard-coding a specific algorithm.

active 2026-02-022026-06-29 (UTC)

Partial coverage11,670 / 12,861 hourly files (91%) · 2 absent upstream · 1,187 failed, retryable2025-02-212026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
10
Pushes
3
Pull requests
0
Issues
0
Stars
6
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 148 days from 2026-02-02 to 2026-06-29. Pushes: 3 total, peak 3 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: 6 total, peak 4 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
windows7lover3300

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 6 stars here means stars gained during the window, not the repo's star count.