Shypd.aiThe largest open index of AI toolstsai is an open-source deep learning library for time series and sequences, built on Pytorch and fastai. It offers state-of-the-art techniques for tasks like classification, regression, and forecasting.
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tsai is an open-source deep learning library designed for time series and sequential data analysis, built upon the Pytorch and fastai frameworks. It provides state-of-the-art techniques for various time series tasks, including classification, regression, forecasting, and imputation. The library is under active development by timeseriesAI and includes a growing collection of models such as PatchTST, RNN with Attention, and TabFusionTransformer. Users can access numerous datasets for univariate and multivariate classification, regression, and forecasting. tsai supports Pytorch 2.0 and offers flexible installation options via pip or conda, with hard and soft dependency management. It also provides comprehensive documentation and tutorial notebooks to help users get started with time series classification, regression, and forecasting tasks.
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