# BenchCouncil/DualSG

<https://repo.masters-masters.com/en/repos/BenchCouncil/DualSG>

[Home](https://repo.masters-masters.com/en) › [BenchCouncil](https://repo.masters-masters.com/en/owners/BenchCouncil) › [DualSG](https://repo.masters-masters.com/en/repos/BenchCouncil/DualSG)

BenchCouncil/DualSG has 103 stars on GitHub. Its RepoMasters card: Prototype tier. \[ACM MM 2025\] Official implementation of "DualSG: A Dual-Stream Explicit…

| Field | Value |
| --- | --- |
| Owner | [BenchCouncil](https://repo.masters-masters.com/en/owners/BenchCouncil) |
| Stars | 103 |
| Forks | 11 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2025 |
| Topics | time-series-forecasting |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [BenchCouncil/DualSG](https://github.com/BenchCouncil/DualSG) |

## Repository

\[ACM MM 2025\] Official implementation of "DualSG: A Dual-Stream Explicit Semantic-Guided Multivariate Time Series Forecasting Framework"

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.