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LTSF-Linear
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LTSF-Linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

by cure-lab · GitHub
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aaaiaaai2023deep-learningApache-2.0Python
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Implement a model to forecast time series data using a specific approach based on transformers in Python.

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2 4932 488
2026-07-072026-08-31
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[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

LTSF-Linear has 2.5k stars on GitHub. It has been forked 509 times. LTSF-Linear is written mainly in Python. It has been in active development since 2022. LTSF-Linear is available under the Apache-2.0 license. Its main topics are aaai, aaai2023, deep-learning, forecasting.

Frequently asked questions

What is LTSF-Linear?

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Is LTSF-Linear open source?

LTSF-Linear is an open-source project. It is released under the Apache-2.0 license.

Is LTSF-Linear free?

Yes. LTSF-Linear is free and open source — you can use, modify and self-host it.

What license does LTSF-Linear use?

LTSF-Linear is available under the Apache-2.0 license.

What language is LTSF-Linear written in?

LTSF-Linear is written mainly in Python.

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