A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
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A unified framework for machine learning with time series
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Bayesian Modeling and Probabilistic Programming in Python
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Forecast what will happen, including outcomes of your decisions.
Scalable and user friendly neural :brain: forecasting algorithms.
