本项目是一个基于深度学习的医疗Query语义匹配系统，旨在对医学查询对进行相关性分类。系统能够判断两个医疗查询之间的语义关系，并将其分为3类： - **2分**：主题等价，表述一致 - **1分**：语义子集关系 - **0分**：语义父集或毫无关联 该系统基于 RoBERTa-large 预训练模型，结合早停机制和训练可视化技术，在医疗文本匹配任务上实现了高效训练和精准预测。
active 2025-07-27 → 2025-08-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 33 days from 2025-07-27 to 2025-08-28. Pushes: 1 total, peak 1 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: 1 total, peak 1 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 |
|---|---|---|---|---|
| xiaozhou-alt | 1 | 1 | 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 — 1 stars here means stars gained during the window, not the repo's star count.