Heman10x-NGU/openJev-verdict-2.0
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
Latest metrics (snapshot 2026-10-14)
| stars | 294 |
|---|---|
| forks | 46 |
| issues | 3 |
| pushed_at | 2026-09-20T14:54:40Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-14 | 294 |
ADC Momentum: 34/100
| Growth velocity | 45 |
|---|---|
| Consistency | 36 |
| Recency | 30 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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[](https://agentdataco.com/repo/Heman10x-NGU/openJev-verdict-2.0)<a href="https://agentdataco.com/repo/Heman10x-NGU/openJev-verdict-2.0"><img src="https://agentdataco.com/badge/repo/Heman10x-NGU/openJev-verdict-2.0.svg" alt="ADC Momentum"></a>Details
| description | Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE) |
|---|---|
| url | https://github.com/Heman10x-NGU/openJev-verdict-2.0 |
| language | Python |
| license | NOASSERTION |
| topics | agentic-ai brier-score calibration decision-engine deep-learning encoder jev machine-learning modernbert non-autoregressive onnx openjev |
| created_at | 2026-09-19T12:14:46Z |
| homepage | https://heman10x-ngu.github.io/openJev-verdict-2.0/ |
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