[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Implement a model to forecast time series data using a specific approach based on transformers in Python.
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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.
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
LTSF-Linear is an open-source project. It is released under the Apache-2.0 license.
Yes. LTSF-Linear is free and open source — you can use, modify and self-host it.
LTSF-Linear is available under the Apache-2.0 license.
LTSF-Linear is written mainly in Python.
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