cure-lab / LTSF-Linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Date Created 2022-05-26 (2 years ago)

Commits 58 (last one 10 months ago)

Stargazers 2,056 (4 this week)

Watchers 18 (0 this week)

Forks 453

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these cure-lab/LTSF-Linear is ranked #25,138 (96th percentile) for total stargazers, and #123,334 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #3,870/119,431.

cure-lab/LTSF-Linear is also tagged with popular topics, for these it's ranked: deep-learning (#741/8512), pytorch (#460/6025), time-series (#48/672), forecasting (#22/190), time-series-forecasting (#9/101)

Other Information

cure-lab/LTSF-Linear has 1 open pull request on Github, 2 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 24 open issues and 89 closed issues.

All Topics

aaai pytorch aaai2023 forecasting time-series deep-learning linear-models forecasting-model time-series-prediction time-series-forecasting

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58 commits on the default branch (main) since jan '22

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updated: 2024-12-20 @ 10:59pm, id: 496687161 / R_kgDOHZrYOQ