neuralforecast
Discover neural forecasting models in the 'NeuralForecast' library, which support over 30 models including RNNs, LSTMs, and Transformers like Informer and AutoFormer. Designed for usability and robustness, it offers features like probabilistic forecasting, exogenous variable support, and automatic hyperparameter tuning. Its sklearn-like syntax allows easy implementation of .fit and .predict functions, suitable for improving forecasting accuracy or exploring new models.
