sayzardFeb 18

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰 (@techwith_ram)

Google이 시계열 파운데이션 모델 'TimesFM'을 공개했다는 발표입니다. 약 1000억 포인트(100 billion)의 시계열 코퍼스로 사전학습되어 다양한 도메인의 벤치마크에서 인상적인 성능을 보인다고 하며, TimesFM GitHub 페이지(코드/리포지토리)도 함께 공개된 것으로 보입니다.

https://x.com/techwith_ram/status/2024088162105266649

#google #timesfm #timeseries #foundationmodel

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰 (@techwith_ram) on X

𝗔 𝗧𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹 𝗕𝘆 𝗚𝗼𝗼𝗴𝗹𝗲 This has been pre-trained on a time series corpus of 100 billion data points, & shows impressive performance on various benchmarks from diverse domains. 𝗧𝗶𝗺𝗲𝘀𝗙𝗠 𝗚𝗶𝘁𝗵𝘂𝗯 𝗽𝗮𝗴𝗲:

X (formerly Twitter)
 Qiita - 人気の記事May 14, 2024

Google ColabでTimesFMを動かして予測してみた
https://qiita.com/bamboo-nova/items/27f32abc84f193d38fef?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #Python #AI #colaboratory #Poetry #TimesFM

Google ColabでTimesFMを動かして予測してみた - Qiita

概要最近の記事を見ると、Zero-Shotで時系列予測ができるTimesFMと呼ばれるものが公開されていました。https://research.google/blog/a-decoder-on…

Qiita
GripNewsMay 8, 2024
🌗 GitHub - google-research/timesfm: Google Research開發的預訓練時序基礎模型TimesFM（Time Series Foundation Model）
➤ 預訓練時序基礎模型TimesFM的功能和使用方法
✤ https://github.com/google-research/timesfm
TimesFM（Time Series Foundation Model）是Google Research為時序預測開發的預訓練時序基礎模型。
+ 這個模型看起來很有用！我希望能夠使用它來進行時序預測。
+ Google Research一直在推動時序預測的研究，這個模型可能對許多領域的研究人員和業界有很大的幫助。
#Google Research #TimesFM #時序預測
GitHub - google-research/timesfm: TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. - google-research/timesfm

GitHub