时间序列预测的元学习模型PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
active 2023-08-15 → 2026-02-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 910 days from 2023-08-15 to 2026-02-09. Pushes: 0 total, peak 0 in a day. Pull requests: 3 total, peak 2 in a day. Issues: 3 total, peak 2 in a day. Comments: 10 total, peak 6 in a day. Stars: 60 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 |
|---|---|---|---|---|
| YiDongOuYang | 5 | 0 | 0 | 3 |
| xhoong | 4 | 0 | 3 | 1 |
| gorold | 4 | 0 | 0 | 4 |
| YHU11 | 1 | 0 | 0 | 0 |
| lorraine-sun | 1 | 0 | 0 | 1 |
| salesforce-cla[bot] | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#17YHU112024-05-17 05:09def __getitem__(self, idx: int) -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray]:
- Issue comment#12xhoong2024-01-17 04:04How to debug or How to rewrite the code to start through the main function such as Informer or Autoformer
- Pull request#15xhoong2023-12-29 02:14
- Pull request#14xhoong2023-12-29 02:12
- Issue comment#14salesforce-cla[bot]2023-12-27 06:41Support loading of model after training
- Pull request#14xhoong2023-12-27 06:41
- Issue comment#13YiDongOuYang2023-09-15 04:50Sincerely consult
- Issue#13YiDongOuYang2023-09-15 04:50Sincerely consult
- Issue comment#13YiDongOuYang2023-09-15 03:42Sincerely consult
- Issue comment#8gorold2023-09-15 03:42How to run your code in Windows
- Issue comment#13gorold2023-09-15 03:39Sincerely consult
- Issue comment#13YiDongOuYang2023-09-15 03:35Sincerely consult
- Issue comment#13gorold2023-09-15 03:31Sincerely consult
- Issue#13YiDongOuYang2023-09-15 03:19Sincerely consult
- Issue comment#8lorraine-sun2023-08-31 08:33How to run your code in Windows
- Issue comment#12gorold2023-08-15 10:36How to debug or How to rewrite the code to start through the main function such as Informer or Autoformer
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 60 stars here means stars gained during the window, not the repo's star count.