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id: "/tags/time-series-tabular/"
title: "Time Series Tabular"
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url: "https://skillissue.dev/tags/time-series-tabular/"
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# Time Series Tabular

[Beginner](/levels/beginner/index.md) [Intermediate](/levels/intermediate/index.md) [Advanced](/levels/advanced/index.md) [Expert](/levels/expert/index.md)

10 resources · page 1 of 1

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### [amazon-science/chronos-forecasting](/foundations/llm-fundamentals/chronos/index.md)

Creator not supplied; see original source.

Amazon Chronos GitHub repo: pretrained foundation models for time-series forecasting.

Not applicable (entity) · unknown · unknown resource · en 

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### [Moirai (uni2ts)](/foundations/llm-fundamentals/moirai-uni2ts/index.md)

Creator not supplied; see original source.

Salesforce uni2ts GitHub repo: training code for Moirai universal time-series forecasting models.

Not applicable (entity) · unknown · unknown resource · en 

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### [NeuralForecast](/foundations/llm-fundamentals/neuralforecast/index.md)

Creator not supplied; see original source.

Nixtla NeuralForecast GitHub repo: library of neural time-series forecasting models such as N-BEATS and NHITS.

Not applicable (entity) · unknown · unknown resource · en 

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### [TabPFN (Prior Labs, Freiburg)](/foundations/llm-fundamentals/tabpfn-prior-labs-freiburg/index.md)

Creator not supplied; see original source.

Prior Labs TabPFN GitHub repo: foundation model for tabular classification and regression.

Not applicable (entity) · unknown · unknown resource · en 

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### [google-research/timesfm](/foundations/llm-fundamentals/timesfm/index.md)

Creator not supplied; see original source.

Google Research TimesFM GitHub repo: pretrained time-series foundation model for forecasting.

Not applicable (entity) · unknown · unknown resource · en 

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### [XGBoost Documentation](/foundations/llm-fundamentals/xgboost-non-nn-baseline/index.md)

Creator not supplied; see original source.

XGBoost documentation: distributed gradient boosting library, a standard non-neural baseline for tabular data.

Not applicable (entity) · unknown · unknown resource · en 

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### [LightGBM documentation](/foundations/llm-fundamentals/lightgbm-documentation/index.md)

Creator not supplied; see original source.

LightGBM documentation: gradient boosting framework with tree-based learning, tuning guides and distributed training.

Intermediate · unknown · unknown resource · en 

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### [sktime](/foundations/llm-fundamentals/sktime/index.md)

Creator not supplied; see original source.

sktime: open-source Python framework for time-series forecasting, classification and anomaly detection.

Intermediate · unknown · unknown resource · en 

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### [XGBoost documentation](/foundations/llm-fundamentals/xgboost-documentation/index.md)

Creator not supplied; see original source.

XGBoost documentation: distributed gradient boosting library with training, GPU support and parameter guides.

Intermediate · unknown · unknown resource · en 

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### [tslearn](/foundations/llm-fundamentals/tslearn/index.md)

Creator not supplied; see original source.

tslearn documentation: Python machine learning tools for time-series analysis.

Advanced · unknown · unknown resource · en 

[Plain-text Markdown copy](/tags/time-series-tabular/index.md)