ZFTurbo/Music-Source-Separation-Training — GitHub trend

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FINDING #4471 · UNIT ID 715096001

ZFTurbo/Music-Source-Separation-Training

Repository for training models for music source separation.

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.000877

ENGAGEMENT0.20

FRESHNESS1.36

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

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

3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

1.53

ACCEL

+0.00

RETENTION

28.9%

PEAK 2026-06-27 · FORK-RETENTION 0.0% · 46 STARS / WINDOW

Author Audience

AUDIENCE

1,709

FOLLOWERS

1,019

OWNER ★

6,897

Engagement Signals

FORKS

214

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 46 / 46 (DIVERSITY 1.00)

Why This Is A Finding

ZFTurbo/Music-Source-Separation-Training собрал 46 звёзд за окно, тогда как у автора всего 1,019 подписчиков — эффективная аудитория ≈ 1,709. Это даёт surprise-индекс 0.000877 (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 29% OF 6295 FINDINGS

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METRICS IN CONTEXT

MEDIAN ACROSS ALL 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 29%

VELOCITY1.534.23-2.70ABOVE 1%

RETENTION28.9%29.4%-0.5 PPABOVE 49%

FORKS21492+122ABOVE 71%

SURPRISE0.000.01-0.01ABOVE 13%