T
timesfm
google-research/timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
★27.3kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Models category, core strengths: model/model
Who made it?Maintained by google-research team, 27.3K⭐ on GitHub, #46 out of 3201 in Models
Why does it exist?The google-research team recognized that existing model tools in Models were hard to use. timesfm was designed to make model more accessible.
What can it do?Key use cases: model
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/google-research/timesfm | 官网 https://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/
🔗 github.com/google-research/timesfm | 官网 https://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/