[ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
active 2025-02-14 → 2026-04-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 439 days from 2025-02-14 to 2026-04-28. Pushes: 10 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 16 total, peak 4 in a day. Comments: 17 total, peak 3 in a day. Stars: 77 total, peak 4 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 |
|---|---|---|---|---|
| ccloud0525 | 16 | 3 | 0 | 6 |
| qiu69 | 8 | 4 | 0 | 4 |
| shaojunjie0912 | 4 | 0 | 0 | 1 |
| DevCrafterLZY | 3 | 3 | 0 | 0 |
| zhangsunny | 3 | 0 | 0 | 2 |
| JunL-Geek | 2 | 0 | 0 | 0 |
| perce-design | 2 | 0 | 0 | 1 |
| QSY-creator | 1 | 0 | 0 | 1 |
| Moxie1337 | 1 | 0 | 0 | 1 |
| XuLi666231 | 1 | 0 | 0 | 1 |
| xiaojianHe | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#18ccloud05252026-04-11 15:28数据处理
- Issue#15ccloud05252026-01-09 10:54NYC数据集的异常情况
- Issue comment#15ccloud05252025-12-30 09:14NYC数据集的异常情况
- Issue comment#4QSY-creator2025-11-17 13:29`ValueError: Unexpected model info type NoneType`
- Issue#13JunL-Geek2025-11-05 08:29The model encountered errors when running on the SMAP and SWAT datasets
- Issue comment#14qiu692025-11-03 06:06How to process the training set if it contains anomalous samples ?
- Issue comment#14zhangsunny2025-11-03 06:03How to process the training set if it contains anomalous samples ?
- Issue comment#14zhangsunny2025-11-03 05:27How to process the training set if it contains anomalous samples ?
- Issue#14zhangsunny2025-11-02 11:27How to process the training set if it contains anomalous samples ?
- Issue#13JunL-Geek2025-10-31 08:00The model encountered errors when running on the SMAP and SWAT datasets
- Issue#7ccloud05252025-08-07 11:21Error on Custom Dataset
- Issue#6ccloud05252025-08-07 02:17Regarding the question about data labels
- Issue#8ccloud05252025-08-07 02:17On the setting of anomaly_ratio under different datasets
- Issue comment#8ccloud05252025-08-07 02:16On the setting of anomaly_ratio under different datasets
- Issue comment#12ccloud05252025-08-07 02:14About the metrics.
- Issue#12ccloud05252025-08-07 02:14About the metrics.
- Issue comment#4XuLi6662312025-07-27 10:58`ValueError: Unexpected model info type NoneType`
- Issue#12skjshhd2025-07-23 10:23About the metrics.
- Issue#11xiaojianHe2025-07-08 03:04对结果有些质疑？
- Issue#5ccloud05252025-07-05 09:16Support for custom datasets.
- Issue#2ccloud05252025-07-04 04:37Release Multivariate Time Series Datasets on Hugging Face
- Issue comment#10ccloud05252025-07-04 04:35Other models
- Issue comment#6qiu692025-04-02 02:38Regarding the question about data labels
- Issue comment#6Moxie13372025-04-02 02:08Regarding the question about data labels
- Issue comment#5qiu692025-03-29 14:09Support for custom datasets.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 77 stars here means stars gained during the window, not the repo's star count.