Github Trends®
8676 findingsmedian surprise 0.00441window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1149 · 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

SURPRISE0.0303
ENGAGEMENT0.30
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
21.00
ACCEL
+19.50
RETENTION
0.0%
PEAK 2026-08-10 · FORK-RETENTION 0.0% · 63 STARS / WINDOW

Author Audience

AUDIENCE
654
FOLLOWERS
423
OWNER ★
2,310

Engagement Signals

FORKS
564
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 63 / 63 (DIVERSITY 1.00)

Why This Is A Finding

shsarv/Machine-Learning-Projects собрал 63 звёзд за окно, тогда как у автора всего 423 подписчиков — эффективная аудитория ≈ 654. Это даёт surprise-индекс 0.0303 (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 8676 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 87%
VELOCITY21.005.67+15.33ABOVE 86%
RETENTION0.0%33.3%-33.3 PPABOVE 0%
FORKS564339+225ABOVE 60%
SURPRISE0.030.00+0.03ABOVE 82%