mims-harvard / UniTS

A unified multi-task time series model.

Date Created 2024-02-16 (9 months ago)

Commits 6 (last one about a month ago)

Stargazers 445 (5 this week)

Watchers 16 (0 this week)

Forks 60

License mit

Ranking

RepositoryStats indexes 584,353 repositories, of these mims-harvard/UniTS is ranked #99,054 (83rd percentile) for total stargazers, and #137,160 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #16,460/116,326.

mims-harvard/UniTS is also tagged with popular topics, for these it's ranked: time-series (#162/658), classification (#112/540), anomaly-detection (#63/328), forecasting (#55/190), eeg (#14/125)

Other Information

mims-harvard/UniTS has Github issues enabled, there are 21 open issues and 11 closed issues.

There have been 1 release, the latest one was published on 2024-02-29 (8 months ago) with the name Pretrained weights.

Homepage URL: https://zitniklab.hms.harvard.edu/projects/UniTS/

All Topics

ecg eeg few-shot zero-shot imputation multi-task forecasting time-series prompt-tuning unified-model classification anomaly-detection foundation-models

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

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

updated: 2024-11-21 @ 05:17am, id: 758580957 / R_kgDOLTcG3Q