Python · Apache-2.0
joyehuang/minimind-notes
🚀 [从零构建 LLM] 极简大模型训练原理与实践指南。包含 Transformer, Pretraining, SFT 核心代码与对照实验。 | A minimal, principle-first guide to understanding and building LLMs from scratch.
★ 228
Stars
20 forks · 2 open issues
+5.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
18.4
Momentum / 100
see the breakdown below
12mo ago
Created
last push 5mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 4.5 | +5.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 4.9 | last week ran 1.33× the monthly pace |
| Freshness | 15 | 2.2 | last push 5mo ago; decays to zero at 180 days |
| Scale | 15 | 6.8 | 228 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 18.4 | sum of the above |
Detail
| Topics | aideep-learningllmmachine-learningminimindnotespretrainingpytorchtransformertutorial |
| Matched on | Learning & Roadmaps (tutorial) |
| Short window | +5 stars over 7 days = 0.7/day |
| Long window | +14 stars over 26 days = 0.5/day |
| Lifetime average | 0.63 stars/day over 362 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |