FateMurphy / CEEMDAN_LSTM

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

Date Created 2021-10-16 (2 years ago)

Commits 95 (last one 3 months ago)

Stargazers 205 (0 this week)

Watchers 5 (0 this week)

Forks 42

License mit

Ranking

RepositoryStats indexes 534,880 repositories, of these FateMurphy/CEEMDAN_LSTM is ranked #165,479 (69th percentile) for total stargazers, and #317,334 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,659/14,941.

FateMurphy/CEEMDAN_LSTM is also tagged with popular topics, for these it's ranked: python (#7,930/20457), deep-learning (#3,307/7826), time-series (#248/598), forecasting (#77/174)

Other Information

FateMurphy/CEEMDAN_LSTM has Github issues enabled, there are 25 open issues and 11 closed issues.

There have been 2 releases, the latest one was published on 2024-03-05 (3 months ago) with the name CEEMDAN_LSTM-1.2.

All Topics

emd vmd lstm python ceemdan prediction forecasting time-series deep-learning

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

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updated: 2024-06-30 @ 03:59am, id: 417705521 / R_kgDOGOWuMQ