A pretrained foundation model from Google Research for time-series forecasting, with non-commercial default weights.

scikit-learn
scikit-learn/scikit-learnGeneral
The most popular Python library for Machine Learning with extensive documentation and community support.
- machine-learning
- python
- statistics
- data-science
- data-analysis
More in Machine Learning
xgboostC++ core
A scalable, portable, and distributed gradient boosting library.
A tool for producing forecasts for time series with multiple seasonality and trend changes.
lightgbmC++ core
A fast, distributed, high performance gradient boosting framework.
A hyperparameter optimization framework with define-by-run search spaces and pruning of unpromising trials.
A unified scikit-learn-style framework for forecasting and other time-series learning tasks.
catboostC++ core
A fast, scalable, high performance gradient boosting on decision trees library.
Distributed asynchronous hyperparameter optimization with Tree-structured Parzen Estimators.