xingjian-bai/opal
- Total stars
- 124
- Today · UTC
- +7since 09:11 UTC
More actions
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
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About the project
A PyTorch optimizer wrapper that lets a coding agent rewrite the optimizer program during training. It is for ML engineers who want the update rule, learning rates, and schedules to adapt automatically while a model trains.
Useful for
- Wrap an existing PyTorch training loop to let an agent adjust learning rates and momentum during a run.
- Run a dry-run with backend="keep" to verify the wrapped optimizer matches the plain run step for step.
- Estimate agent waiting time and cost before launching a real run with a cost cap.
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate. Read the original README →
Star growth looks organic. Data as of October 22, 2026, 10:55 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show stars per UTC day; the line is a moving average of available history. Gaps mean missing data, not zero growth. Today's bar is incomplete. Red marks spike days.
Why it’s trending
- Star-counter measurements on 2026-10-22 (UTC), 09:11–10:42: 117 → 124 stars (+7). This is the change over that interval.
- Estimated end-of-day forecast: about +39 stars, using observed gains and the previous day.
- The repository is 1 day old and already has 124 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #188.
Measured growth: the last 7 completed days
The full 7-day window is unavailable; no weekly total or comparison is calculated.
Daily measurements · UTC
- October 15, 2026
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- October 16, 2026
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- October 17, 2026
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- October 18, 2026
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- October 19, 2026
- —
- October 20, 2026
- —
- October 21, 2026
- 95
Largest measured day in the last 30 days: 95 · October 21, 2026. Days with data: 1.
Completed days come from GitHub star history; today and forecasts are excluded from this comparison. History checked: October 22, 2026, 10:54 UTC. Sources and measurement limits →
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 124
- Today
- +7 stars measured 2026-10-22, 09:11–10:42 UTC, ≈ 39 by evening
- Forks
- 4
- Issues and pull requests
- 6
- Watchers
- 1
- Language
- Python
- License
- MIT
- Latest release
- v0.3.5 · October 22, 2026
- Created
- October 21, 2026
- Last push
- October 22, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- October 22, 2026Top new repositories this week: #186
README badge
Paste it into your README — the badge shows the current magnitude and links to this page.
[](https://gitnova.dev/en/r/xingjian-bai/opal)