# SJTU-DMTai/DoubleAdapt

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

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

SJTU-DMTai/DoubleAdapt, dépôt open source à 120 étoiles sur GitHub. Carte Prototype de RepoMasters. The official API of DoubleAdapt (KDD'23), an incremental…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [SJTU-DMTai](https://repo.masters-masters.com/owners/SJTU-DMTai) |
| Étoiles | 120 |
| Forks | 23 |
| Langage | [Python](https://repo.masters-masters.com/languages/python) |
| Licence | Aucune |
| Création | 2023 |
| Sujets | concept-drift, distribution-shift, incremental-learning, kdd2023, meta-learning, quantitative-finance, stock-prediction |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [SJTU-DMTai/DoubleAdapt](https://github.com/SJTU-DMTai/DoubleAdapt) |

## Fiche du dépôt

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

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.