Time Series Tabular
10 resources · page 1 of 1
amazon-science/chronos-forecasting
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Amazon Chronos GitHub repo: pretrained foundation models for time-series forecasting.
Moirai (uni2ts)
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Salesforce uni2ts GitHub repo: training code for Moirai universal time-series forecasting models.
NeuralForecast
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Nixtla NeuralForecast GitHub repo: library of neural time-series forecasting models such as N-BEATS and NHITS.
TabPFN (Prior Labs, Freiburg)
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Prior Labs TabPFN GitHub repo: foundation model for tabular classification and regression.
google-research/timesfm
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Google Research TimesFM GitHub repo: pretrained time-series foundation model for forecasting.
XGBoost Documentation
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XGBoost documentation: distributed gradient boosting library, a standard non-neural baseline for tabular data.
LightGBM documentation
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LightGBM documentation: gradient boosting framework with tree-based learning, tuning guides and distributed training.
sktime
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sktime: open-source Python framework for time-series forecasting, classification and anomaly detection.
XGBoost documentation
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XGBoost documentation: distributed gradient boosting library with training, GPU support and parameter guides.
tslearn
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tslearn documentation: Python machine learning tools for time-series analysis.