neuralforecast
Deep Learning for Time Series Forecasting
Deep Learning for Time Series Forecasting
To install this package, run one of the following:
State-of-the-art time series forecasting for PyTorch.
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.
Summary
Deep Learning for Time Series Forecasting
Last Updated
Feb 27, 2026 at 19:04
License
Apache-2.0
Total Downloads
54.5K
Version Downloads
37
Supported Platforms
GitHub Repository
https://github.com/Nixtla/neuralforecast/tree/main/