cure-lab/LTSF-Linear
PyTorch implementation of LTSF-Linear models for long-term time series forecasting.
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This repository provides the official implementation of a AAAI-2023 paper questioning whether Transformers are effective for time series forecasting. It introduces a family of simple linear models (Linear, DLinear, NLinear) as alternatives that outperform Transformer-based approaches on long-term forecasting tasks. The work includes a comprehensive benchmark and supports both univariate and multivariate forecasting with visualization capabilities.
Frequently asked
- What is cure-lab/LTSF-Linear?
- PyTorch implementation of LTSF-Linear models for long-term time series forecasting.
- Is LTSF-Linear open source?
- Yes — cure-lab/LTSF-Linear is open source, released under the Apache-2.0 license.
- What language is LTSF-Linear written in?
- cure-lab/LTSF-Linear is primarily written in Python.
- How popular is LTSF-Linear?
- cure-lab/LTSF-Linear has 2.5k stars on GitHub.
- Where can I find LTSF-Linear?
- cure-lab/LTSF-Linear is on GitHub at https://github.com/cure-lab/LTSF-Linear.