analyticalrohit/pytorch_fundamentals — GitHub trend

◂ BACK TO LEADERBOARD

FINDING #6225 · UNIT ID 959159366

analyticalrohit/pytorch_fundamentals

Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.

[ JUPYTER NOTEBOOK ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00232

ENGAGEMENT0.31

FRESHNESS1.12

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

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

4% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

1.50

ACCEL

+0.20

RETENTION

26.5%

PEAK 2026-08-22 · FORK-RETENTION 0.0% · 45 STARS / WINDOW

Author Audience

AUDIENCE

607

FOLLOWERS

316

OWNER ★

2,908

Engagement Signals

FORKS

149

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 45 / 45 (DIVERSITY 1.00)

Why This Is A Finding

analyticalrohit/pytorch_fundamentals собрал 45 звёзд за окно, тогда как у автора всего 316 подписчиков — эффективная аудитория ≈ 607. Это даёт surprise-индекс 0.00232 (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 35% OF 9591 FINDINGS

#195xbsheng/atguigu-note[ JUPYTER NOTEBOOK ]0.0835 #329lyogavin/airllm[ JUPYTER NOTEBOOK ]0.0381 #347gmonce/scikit-learn-book[ JUPYTER NOTEBOOK ]0.0371 #564raiyanyahya/how-to-train-your-gpt[ JUPYTER NOTEBOOK ]0.029 #874Mengmouxu/SceneGen[ JUPYTER NOTEBOOK ]0.0224

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9591 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 35%

VELOCITY1.503.63-2.13ABOVE 0%

RETENTION26.5%24.8%+1.7 PPABOVE 53%

FORKS149120+29ABOVE 56%

SURPRISE0.000.01-0.01ABOVE 23%