Neural forecasting methods can enhance forecasting accuracy, but they are often difficult to use and computationally expensive.
NeuralForecast provides a simple way to use efficient models, using familiar scikit-learn syntax. The models available in NeuralForecast range from classic networks like RNN to the latest transformers.