# tsinghua-fib-lab/UniST

<https://repo.masters-masters.com/en/repos/tsinghua-fib-lab/UniST>

[Home](https://repo.masters-masters.com/en) › [tsinghua-fib-lab](https://repo.masters-masters.com/en/owners/tsinghua-fib-lab) › [UniST](https://repo.masters-masters.com/en/repos/tsinghua-fib-lab/UniST)

tsinghua-fib-lab/UniST has 231 stars on GitHub. Its RepoMasters card: Prototype tier. Official implementation for "UniST: A Prompt-Empowered Universal Model…

| Field | Value |
| --- | --- |
| Owner | [tsinghua-fib-lab](https://repo.masters-masters.com/en/owners/tsinghua-fib-lab) |
| Stars | 231 |
| Forks | 23 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | one-for-all, prompt-learning, spatio-temporal, universal-model, forecasting, pre-training, prediction, prompt-tuning, transformers, universal-forecasting |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [tsinghua-fib-lab/UniST](https://github.com/tsinghua-fib-lab/UniST) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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