Unified Training of Universal Time Series Forecasting Transformers
Apply a framework for training and evaluating models that predict future data trends.
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uni2ts has 1.5k stars on GitHub. It has been forked 204 times. uni2ts is written mainly in Jupyter Notebook. It has been in active development since 2024. uni2ts is available under the Apache-2.0 license. Its main topics are deep-learning, forecasting, machine-learning, pre-trained-models.
Unified Training of Universal Time Series Forecasting Transformers
uni2ts is an open-source project. It is released under the Apache-2.0 license.
Yes. uni2ts is free and open source — you can use, modify and self-host it.
uni2ts is available under the Apache-2.0 license.
uni2ts is written mainly in Jupyter Notebook.
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