# SJTU-DMTai/DoubleAdapt

<https://repo.masters-masters.com/en/repos/SJTU-DMTai/DoubleAdapt>

[Home](https://repo.masters-masters.com/en) › [SJTU-DMTai](https://repo.masters-masters.com/en/owners/SJTU-DMTai) › [DoubleAdapt](https://repo.masters-masters.com/en/repos/SJTU-DMTai/DoubleAdapt)

SJTU-DMTai/DoubleAdapt has 120 stars on GitHub. Its RepoMasters card: Prototype tier. The official API of DoubleAdapt (KDD'23), an incremental learning…

| Field | Value |
| --- | --- |
| Owner | [SJTU-DMTai](https://repo.masters-masters.com/en/owners/SJTU-DMTai) |
| Stars | 120 |
| Forks | 23 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | concept-drift, distribution-shift, incremental-learning, kdd2023, meta-learning, quantitative-finance, stock-prediction |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [SJTU-DMTai/DoubleAdapt](https://github.com/SJTU-DMTai/DoubleAdapt) |

## Repository

The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.

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.