---
id: "/non-llm-neural-networks-ml-foundations/time-series-tabular/"
title: "time series & tabular: 10 curated resources"
url: "https://skillissue.dev/non-llm-neural-networks-ml-foundations/time-series-tabular/"
---

# time series & tabular: 10 curated resources

time series & tabular

[Beginner](/non-llm-neural-networks-ml-foundations/beginner/index.md) [Intermediate](/non-llm-neural-networks-ml-foundations/intermediate/index.md) [Advanced](/non-llm-neural-networks-ml-foundations/advanced/index.md) [Expert](/non-llm-neural-networks-ml-foundations/expert/index.md)

10 resources · page 1 of 1

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

by [Amazon Science](https://amazon.science)

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

entity repo West en 

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

by [Salesforce AI Research](https://github.com/SalesforceAIResearch)

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

entity repo West en 

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

by [Nixtla](https://www.nixtla.io)

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

entity repo West en 

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

by [Prior Labs](https://www.priorlabs.ai)

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

entity repo West en 

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

by [Google Research](https://research.google)

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

entity repo West en 

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

by [XGBoost project (DMLC)](https://xgboost.ai/)

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

entity org West en 

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

by [Microsoft (LightGBM)](https://github.com/microsoft/LightGBM)

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

Intermediate learning_resource docs International en 

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

by [sktime](https://sktime.net/)

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

Intermediate learning_resource docs Global en 

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

by [XGBoost project (DMLC)](https://xgboost.ai/)

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

Intermediate learning_resource docs International en 

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

by [tslearn project](https://github.com/tslearn-team/tslearn)

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

Advanced learning_resource docs France/global en 

[Plain-text Markdown copy](/non-llm-neural-networks-ml-foundations/time-series-tabular/index.md)