neonwatty/machine-learning-refined — GitHub trend

FINDING #5047 · UNIT ID 65558310

neonwatty/machine-learning-refined

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00327

ENGAGEMENT0.40

FRESHNESS1.00

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

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

0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

2.67

ACCEL

+3.50

RETENTION

0.0%

PEAK 2026-08-28 · FORK-RETENTION 0.0% · 8 STARS / WINDOW

Author Audience

AUDIENCE

776

FOLLOWERS

413

OWNER ★

3,629

Engagement Signals

FORKS

710

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 8 / 8 (DIVERSITY 1.00)

Why This Is A Finding

neonwatty/machine-learning-refined собрал 8 звёзд за окно, тогда как у автора всего 413 подписчиков — эффективная аудитория ≈ 776. Это даёт surprise-индекс 0.00327 (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 47% OF 9558 FINDINGS

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METRICS IN CONTEXT

MEDIAN ACROSS ALL 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 47%

VELOCITY2.675.67-3.00ABOVE 0%

RETENTION0.0%42.9%-42.9 PPABOVE 0%

FORKS710333+377ABOVE 65%

SURPRISE0.000.00-0.00ABOVE 46%