Github Trends®
9721 findingsmedian surprise 0.00633window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #2398 · UNIT ID 312624973
shsarv/Machine-Learning-Projects
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0142
ENGAGEMENT0.29
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
9.86
ACCEL
+5.54
RETENTION
0.0%
PEAK 2026-08-10 · FORK-RETENTION 0.0% · 69 STARS / WINDOW

Author Audience

AUDIENCE
654
FOLLOWERS
423
OWNER ★
2,310

Engagement Signals

FORKS
564
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 69 / 69 (DIVERSITY 1.00)

Why This Is A Finding

shsarv/Machine-Learning-Projects собрал 69 звёзд за окно, тогда как у автора всего 423 подписчиков — эффективная аудитория ≈ 654. Это даёт surprise-индекс 0.0142 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9721 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 75%
VELOCITY9.863.43+6.43ABOVE 78%
RETENTION0.0%32.1%-32.1 PPABOVE 0%
FORKS564130+434ABOVE 82%
SURPRISE0.010.01+0.01ABOVE 69%