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 (3 years ago)

Commits 98 (last one 4 months ago)

Stargazers 228 (0 this week)

Watchers 5 (0 this week)

Forks 42

License mit

Ranking

RepositoryStats indexes 585,332 repositories, of these FateMurphy/CEEMDAN_LSTM is ranked #162,796 (72nd percentile) for total stargazers, and #332,562 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,680/17,144.

FateMurphy/CEEMDAN_LSTM is also tagged with popular topics, for these it's ranked: python (#7,854/22032), deep-learning (#3,265/8403), time-series (#244/663), forecasting (#76/190)

Other Information

FateMurphy/CEEMDAN_LSTM has Github issues enabled, there are 26 open issues and 12 closed issues.

There have been 3 releases, the latest one was published on 2024-07-08 (4 months ago) with the name CEEMDAN_LSTM-1.2.1.

All Topics

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-21 @ 05:59pm, id: 417705521 / R_kgDOGOWuMQ