iTransformer
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
Implement a time series forecasting model using attention networks for accurate predictions.
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Free · no card · unsubscribe anytimeUnofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
iTransformer has 538 stars on GitHub. It has been forked 38 times. iTransformer is written mainly in Python. It has been in active development since 2023. iTransformer is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanisms, deep-learning, time-series-forecasting.
What is iTransformer?
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
Is iTransformer open source?
iTransformer is an open-source project. It is released under the MIT license.
Is iTransformer free?
Yes. iTransformer is free and open source — you can use, modify and self-host it.
What license does iTransformer use?
iTransformer is available under the MIT license.
What language is iTransformer written in?
iTransformer is written mainly in Python.
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