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[GitHub Trending] google-research/timesfm

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Score Breakdown
technical depth
9
novelty
8
actionability
7
community
8
strategic
7
personal
8

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Google's time-series foundation model is novel and strategic for data engineering.

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 decoder-only model, published at ICML 2024, now includes Flax inference, covariate support via XReg, LoRA fine-tuning through HuggingFace Transformers + PEFT, and an agent skill (SKILL.md) for programmatic orchestration. Available on PyPI with torch or Flax backends, it integrates with BigQuery ML, Google Sheets, and Vertex Model Garden.

Author

google-research