mims-harvard / UniTS

A unified multi-task time series model.

Date Created 2024-02-16 (about a year ago)

Commits 6 (last one 8 months ago)

Stargazers 550 (2 this week)

Watchers 17 (0 this week)

Forks 80

License mit

Ranking

RepositoryStats indexes 665,059 repositories, of these mims-harvard/UniTS is ranked #90,962 (86th percentile) for total stargazers, and #128,736 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #15,441/137,933.

mims-harvard/UniTS is also tagged with popular topics, for these it's ranked: time-series (#154/729), classification (#103/600), anomaly-detection (#60/374), forecasting (#50/205), eeg (#13/149)

Other Information

mims-harvard/UniTS has Github issues enabled, there are 25 open issues and 13 closed issues.

There have been 1 release, the latest one was published on 2024-02-29 (about a year 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: 2025-06-18 @ 08:21am, id: 758580957 / R_kgDOLTcG3Q