BENDR [12] 将基于屏蔽自动编码器的自监督学习和对比学习应用于脑电图数据。这种方法解决了多任务和多范式脑电图数据表征的挑战，增强了模型的通用性。 BENDR使用卷积编码器从本地时间窗口中提取特征，屏蔽一些特征，然后变压器解码器预测屏蔽部分中的信息。
Python · active 2023-09-06 → 2026-10-12 (UTC)
Activity over time
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Line chart, 1133 days from 2023-09-06 to 2026-10-12. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 62 total, peak 3 in a day.
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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.
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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| anika-ilieva | 1 | 0 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 62 stars here means stars gained during the window, not the repo's star count.