labmlai/annotated_deep_learning_paper_implementations — GitHub trend

FINDING #4627 · UNIT ID 290091948

labmlai/annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

[ PYTHON ][ ORG ][ VERIFIED ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00032

ENGAGEMENT0.57

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

13.00

ACCEL

0.00

RETENTION

0.0%

PEAK 2026-07-14 · FORK-RETENTION 0.0% · 13 STARS / WINDOW

Author Audience

AUDIENCE

40,536

FOLLOWERS

2,837

OWNER ★

70,736

Engagement Signals

FORKS

6,738

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 13 / 13 (DIVERSITY 1.00)

Why This Is A Finding

labmlai/annotated_deep_learning_paper_implementations собрал 13 звёзд за окно, тогда как у автора всего 2,837 подписчиков — эффективная аудитория ≈ 40,536. Это даёт surprise-индекс 0.00032 (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 23% OF 6024 FINDINGS

#01MDX-Tom/gpt-5.6-instruct[ PYTHON ]3.65 #04SIA-IOTechnology/Kittysploit-framework[ PYTHON ]1.92 #05William-Lu-stack/LuxyAI[ PYTHON ]1.47 #08Git-creat7/grokRegister-cpa[ PYTHON ]1.04 #10fqscfqj/Y2A-Auto[ PYTHON ]0.85

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6024 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 23%

VELOCITY13.009.00+4.00ABOVE 64%

RETENTION0.0%0.0%0.0 PPABOVE 0%

FORKS6,738495+6,243ABOVE 93%

SURPRISE0.000.00-0.00ABOVE 11%