# mims-harvard/UniTS

<https://repo.masters-masters.com/en/repos/mims-harvard/UniTS>

[Home](https://repo.masters-masters.com/en) › [mims-harvard](https://repo.masters-masters.com/en/owners/mims-harvard) › [UniTS](https://repo.masters-masters.com/en/repos/mims-harvard/UniTS)

mims-harvard/UniTS has 648 stars on GitHub. Its RepoMasters card: Alpha tier. A unified multi-task time series model. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [mims-harvard](https://repo.masters-masters.com/en/owners/mims-harvard) |
| Stars | 648 |
| Forks | 99 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | anomaly-detection, classification, few-shot, forecasting, foundation-models, imputation, prompt-tuning, time-series, unified-model, zero-shot |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [mims-harvard/UniTS](https://github.com/mims-harvard/UniTS) |

## Repository

A unified multi-task time series model.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.