# Nixtla/nixtla

<https://repo.masters-masters.com/repos/Nixtla/nixtla>

[Accueil](https://repo.masters-masters.com/) › [Nixtla](https://repo.masters-masters.com/owners/Nixtla) › [nixtla](https://repo.masters-masters.com/repos/Nixtla/nixtla)

Nixtla/nixtla, dépôt open source à 4 040 étoiles sur GitHub. Carte RC de RepoMasters. TimeGPT-2.1: production ready pre-trained Time Series Foundation Model…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [Nixtla](https://repo.masters-masters.com/owners/Nixtla) |
| Étoiles | 4 040 |
| Forks | 342 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2021 |
| Sujets | time-series, time-series-forecasting, deep-learning, forecasting, gpt, generative-ai-time-series, timegpt, anomaly-detection, artificial-intelligence, gpts |
| Rang | [RC (2 000 à 4 999 ★)](https://repo.masters-masters.com/ranks/blockbuster) |
| Voir sur GitHub | [Nixtla/nixtla](https://github.com/Nixtla/nixtla) |

## Fiche du dépôt

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with…

Rang des dépôts qui ont 2 000 à 4 999 ★ sur GitHub. Probabilité publiée par carte tirée : 3 %. Rareté : Épique.

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Données : GitHub · Illustration : image publique du projet, pixelisée par RepoMasters.