IKMLab/NTHU_Natural_Language_Processing — GitHub trend

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FINDING #2628 · UNIT ID 854591411

IKMLab/NTHU_Natural_Language_Processing

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0113

ENGAGEMENT0.52

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

12% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

2.86

ACCEL

+0.46

RETENTION

3.6%

PEAK 2026-09-10 · FORK-RETENTION 0.0% · 20 STARS / WINDOW

Author Audience

AUDIENCE

212

FOLLOWERS

OWNER ★

442

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 20 / 20 (DIVERSITY 1.00)

Why This Is A Finding

IKMLab/NTHU_Natural_Language_Processing собрал 20 звёзд за окно, тогда как у автора всего 62 подписчиков — эффективная аудитория ≈ 212. Это даёт surprise-индекс 0.0113 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 73% OF 9789 FINDINGS

#489philshiu/Drosophila_brain_model[ JUPYTER NOTEBOOK ]0.0313 #980xbsheng/atguigu-note[ JUPYTER NOTEBOOK ]0.0179 #1018Lordog/dive-into-llms[ JUPYTER NOTEBOOK ]0.0172 #1266gmonce/scikit-learn-book[ JUPYTER NOTEBOOK ]0.0139 #1444MLO-lab/LeVJEPA[ JUPYTER NOTEBOOK ]0.0123

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9789 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.00ABOVE 73%

VELOCITY2.863.43-0.57ABOVE 41%

RETENTION3.6%37.5%-33.9 PPABOVE 12%

FORKS49119-70ABOVE 30%

SURPRISE0.010.01+0.00ABOVE 61%