OliverDOU776/Few-step-probabilistic-glucose-forecasting-from-continuous-glucose-monitoring-and-meal-images — GitHub trend

◂ BACK TO LEADERBOARD

FINDING #8956 · UNIT ID 1332135149

OliverDOU776/Few-step-probabilistic-glucose-forecasting-from-continuous-glucose-monitoring-and-meal-images

Official research code for GlucoFlow: few-step multimodal probabilistic glucose forecasting.

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.45

ENGAGEMENT0.00

FRESHNESS1.01

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

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

39% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

30.00

ACCEL

+24.50

RETENTION

0.0%

PEAK 2026-08-22 · FORK-RETENTION 0.0% · 90 STARS / WINDOW

Author Audience

AUDIENCE

FOLLOWERS

OWNER ★

231

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 90 / 90 (DIVERSITY 1.00)

Why This Is A Finding

OliverDOU776/Few-step-probabilistic-glucose-forecasting-from-continuous-glucose-monitoring-and-meal-images собрал 90 звёзд за окно, тогда как у автора всего 3 подписчиков — эффективная аудитория ≈ 26. Это даёт surprise-индекс 0.45 (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 2% OF 9125 FINDINGS

#02xdreizein666/getcontact-cli[ PYTHON ]0.98 #07LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler[ PYTHON ]0.72 #23guillaumemeyer/watermarks-remover[ PYTHON ]0.42 #24securo-finance/securo[ PYTHON ]0.42 #28awesome-dsh-plugin/awesome-dsh-plugin[ PYTHON ]0.39

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9125 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 2%

VELOCITY30.005.33+24.67ABOVE 91%

RETENTION0.0%20.6%-20.6 PPABOVE 0%

FORKS0343-343ABOVE 0%

SURPRISE0.450.00+0.45ABOVE 99%