Nixtla / nixtla

TimeGPT-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 just a few lines of code 🚀.

Date Created 2021-09-23 (2 years ago)

Commits 802 (last one 2 days ago)

Stargazers 1,761 (85 this week)

Watchers 29 (0 this week)

Forks 137

License other

Ranking

RepositoryStats indexes 523,840 repositories, of these Nixtla/nixtla is ranked #27,469 (95th percentile) for total stargazers, and #74,026 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #573/14,471.

Nixtla/nixtla is also tagged with popular topics, for these it's ranked: deep-learning (#781/7720), machine-learning (#809/7264), llm (#219/1875), artificial-intelligence (#203/1777), gpt (#110/939), time-series (#52/587), anomaly-detection (#14/282), forecasting (#23/170)

Other Information

Nixtla/nixtla has 5 open pull requests on Github, 186 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 59 open issues and 55 closed issues.

There have been 26 releases, the latest one was published on 2024-05-06 (25 days ago) with the name v0.5.1.

Homepage URL: https://docs.nixtla.io

All Topics

gpt llm gpts timegpt forecasting time-series deep-learning machine-learning anomaly-detection artificial-intelligence time-series-forecasting generative-ai-time-series

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569 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-05-31 @ 09:20pm, id: 409653223 / R_kgDOGGrP5w