SJTU-DMTai / DoubleAdapt

The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.

Date Created 2023-06-29 (about a year ago)

Commits 27 (last one 7 months ago)

Stargazers 86 (0 this week)

Watchers 3 (0 this week)

Forks 13

License unknown

Ranking

RepositoryStats indexes 584,353 repositories, of these SJTU-DMTai/DoubleAdapt is ranked #321,337 (45th percentile) for total stargazers, and #422,423 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #59,828/116,326.

SJTU-DMTai/DoubleAdapt is also tagged with popular topics, for these it's ranked: quantitative-finance (#147/198), meta-learning (#78/139)

All Topics

kdd2023 concept-drift meta-learning stock-prediction distribution-shift incremental-learning quantitative-finance

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Github watchers over time, collection started in '23

Recent Commit History

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

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The primary language is Python but there's also others...

updated: 2024-11-15 @ 10:14pm, id: 660198068 / R_kgDOJ1nStA