MN
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.
87 10 -1/wk
GitHub
ai deep-learning llm machine-learning minimind notes pretraining pytorch transformer tutorial
Trend
0
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
joyehuang/minimind-notes has -1 stars this period . 7-day velocity: -1.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | minimind-notes | map-matching-2 | LLMOne | SciDER |
|---|---|---|---|---|
| Stars | 87 | 87 | 87 | 87 |
| Forks | 10 | 16 | 3 | 6 |
| Weekly Growth | -1 | -1 | +0 | +1 |
| Language | Python | C++ | TypeScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | AGPL-3.0 | MulanPSL-2.0 | Apache-2.0 |
Capability Radar vs map-matching-2
minimind-notes
map-matching-2
Maintenance Activity 100
Last code push 4 days ago.
Community Engagement 57
Fork-to-star ratio: 11.5%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.