# thuml/Nonstationary\_Transformers

<https://repo.masters-masters.com/en/repos/thuml/Nonstationary_Transformers>

[Home](https://repo.masters-masters.com/en) › [thuml](https://repo.masters-masters.com/en/owners/thuml) › [Nonstationary\_Transformers](https://repo.masters-masters.com/en/repos/thuml/Nonstationary_Transformers)

thuml/Nonstationary\_Transformers has 568 stars on GitHub. Its RepoMasters card: Alpha tier. Code release for "Non-stationary Transformers: Exploring the…

| Field | Value |
| --- | --- |
| Owner | [thuml](https://repo.masters-masters.com/en/owners/thuml) |
| Stars | 568 |
| Forks | 103 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | deep-learning, time-series, forecasting, non-stationary |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [thuml/Nonstationary\_Transformers](https://github.com/thuml/Nonstationary_Transformers) |

## Repository

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

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

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