mims-harvard / UniTS

A unified multi-task time series model.

Date Created 2024-02-16 (3 months ago)

Commits 5 (last one 2 months ago)

Stargazers 338 (6 this week)

Watchers 14 (0 this week)

Forks 40

License mit

Ranking

RepositoryStats indexes 523,840 repositories, of these mims-harvard/UniTS is ranked #113,331 (78th percentile) for total stargazers, and #150,200 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #18,673/100,813.

mims-harvard/UniTS is also tagged with popular topics, for these it's ranked: time-series (#182/587), classification (#134/498), anomaly-detection (#71/282), forecasting (#60/170), eeg (#18/107)

Other Information

mims-harvard/UniTS has Github issues enabled, there are 14 open issues and 9 closed issues.

There have been 1 release, the latest one was published on 2024-02-29 (3 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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5 commits on the default branch (main) since jan '22

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

updated: 2024-05-30 @ 04:12pm, id: 758580957 / R_kgDOLTcG3Q