GitHub - Nixtla/neuralforecast: Scalable and user friendly neural forecasting algorithms for time series data .

NeuralForecast is a Python library for time series forecasting with deep learning models. It includes benchmark datasets, data-loading utilities, evaluation functions, statistical tests, univariate model benchmarks and SOTA models implemented in PyTorch and PyTorchLightning. Here is a link to the documentation. This project is licensed under the GPLv3 License - see the LICENSE file for details. This project follows the all-contributors specification.