tsinghua-fib-lab / UniST

Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)

Date Created 2024-05-20 (7 months ago)

Commits 66 (last one a day ago)

Stargazers 153 (4 this week)

Watchers 4 (0 this week)

Forks 14

License unknown

Ranking

RepositoryStats indexes 595,890 repositories, of these tsinghua-fib-lab/UniST is ranked #220,153 (63rd percentile) for total stargazers, and #377,353 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #39,986/119,419.

tsinghua-fib-lab/UniST is also tagged with popular topics, for these it's ranked: transformers (#413/848), forecasting (#95/190)

Other Information

tsinghua-fib-lab/UniST has Github issues enabled, there are 20 open issues and 5 closed issues.

All Topics

prediction forecasting one-for-all pre-training transformers prompt-tuning prompt-learning spatio-temporal universal-model universal-forecasting

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

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updated: 2024-12-21 @ 02:54pm, id: 803296179 / R_kgDOL-FTsw