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[GitHub Trending] google-research/timesfm

7.7 relevance
Score Breakdown
technical depth
9
novelty
8
actionability
8
community
7
strategic
5
personal
6

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Google's time series foundation model; strong technical depth but only tangential to reader's core interests.

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

Google Research released TimesFM 2.5, a 200M parameter time-series foundation model (down from 500M) supporting up to 16k context length and 1k horizon quantile forecasts via an optional 30M head. The open-source PyPI package now includes Flax for faster inference, covariate support via XReg, LoRA fine-tuning with HuggingFace Transformers + PEFT, and an agent skill (SKILL.md) for programmatic orchestration. Integrated into BigQuery ML, Google Sheets, and Vertex Model Garden, it's available under `pip install timesfm[torch]` or `[flax]`.

Author

google-research