本仓库提供了一个基于PyTorch实现的Transformer模型示例代码，专为初学者设计，用以深入浅出地讲解Transformer架构的工作原理和应用。通过阅读和运行此项目中的代码，学习者可以快速理解自注意力机制、编码器-解码器结构以及如何在实际任务中使用Transformer。同时，项目包含了详细的文档说明和注释，便于跟随每一步进行实践。
active 2024-01-03 → 2026-05-16 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 865 days from 2024-01-03 to 2026-05-16. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 69 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| BostonMilk | 2 | 2 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 69 stars here means stars gained during the window, not the repo's star count.