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