Oxford-LLMs-Research/oxford-llms-workshop — GitHub trend

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FINDING #1420 · UNIT ID 669533128

Oxford-LLMs-Research/oxford-llms-workshop

Workshop on Learning and Applying Large Language Models for Social Science Research

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0317

ENGAGEMENT0.20

FRESHNESS1.00

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

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

17% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

2.57

ACCEL

+0.93

RETENTION

27.3%

PEAK 2026-07-29 · FORK-RETENTION 0.0% · 18 STARS / WINDOW

Author Audience

AUDIENCE

FOLLOWERS

OWNER ★

126

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 18 / 18 (DIVERSITY 1.00)

Why This Is A Finding

Oxford-LLMs-Research/oxford-llms-workshop собрал 18 звёзд за окно, тогда как у автора всего 8 подписчиков — эффективная аудитория ≈ 41. Это даёт surprise-индекс 0.0317 (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 86% OF 9802 FINDINGS

#425Lordog/dive-into-llms[ JUPYTER NOTEBOOK ]0.0262 #436VintaBytes/Ciencia-de-datos[ JUPYTER NOTEBOOK ]0.0255 #563Nicolepcx/transformers-the-definitive-guide[ JUPYTER NOTEBOOK ]0.0208 #666CalvinXKY/InfraTech[ JUPYTER NOTEBOOK ]0.0178 #979pulkit93/virtual-insurance-agent[ JUPYTER NOTEBOOK ]0.0126

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9802 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.01ABOVE 86%

VELOCITY2.573.14-0.57ABOVE 39%

RETENTION27.3%20.0%+7.3 PPABOVE 58%

FORKS12210-198ABOVE 8%

SURPRISE0.030.00+0.03ABOVE 89%