zalandoresearch/pytorch-ts
A PyTorch framework for probabilistic time series forecasting using deep learning models.
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PyTorchTS is a probabilistic time series forecasting framework built on PyTorch that leverages GluonTS as its backend API. It provides state-of-the-art time series models including DeepAR, LSTM Net, and N-BEATS for training and backtesting on time series data. The framework handles data loading, transformation, and evaluation for forecasting tasks.
Frequently asked
- What is zalandoresearch/pytorch-ts?
- A PyTorch framework for probabilistic time series forecasting using deep learning models.
- Is pytorch-ts open source?
- Yes — zalandoresearch/pytorch-ts is open source, released under the MIT license.
- What language is pytorch-ts written in?
- zalandoresearch/pytorch-ts is primarily written in Python.
- How popular is pytorch-ts?
- zalandoresearch/pytorch-ts has 1.4k stars on GitHub.
- Where can I find pytorch-ts?
- zalandoresearch/pytorch-ts is on GitHub at https://github.com/zalandoresearch/pytorch-ts.