Chronos: Learning the Language of Time Series

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • nixtla

    Python SDK for TimeGPT, a foundational time series model

  • I do not have a horse in the race, but it is interesting to see open source comparisons to traditional timeseries strategies: https://github.com/Nixtla/nixtla/tree/main/experiments/amazo...

    In general, the M-Competitions (https://forecasters.org/resources/time-series-data/), the olympics of timeseries forecasting, have proven frustrating for ML methods... linear models do shockingly well and the ML models that have won, generally seem to be variants of older tree-based methods (ie. LightGBM is a favorite).

    Will be interesting to see whether the Transformer architecture ends up making real progress here.

  • mvts_transformer

    Multivariate Time Series Transformer, public version

  • Like this or something different?

    https://github.com/gzerveas/mvts_transformer

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • chronos-forecasting

    Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

  • https://github.com/amazon-science/chronos-forecasting

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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