tsai
tsai is a robust open-source deep learning library designed for time series and sequence tasks such as classification, regression, and forecasting. It leverages Pytorch and fastai to integrate innovative models like PatchTST and RNN with Attention. With expanded datasets and Pytorch 2.0 support, tsai offers utilities like walk-forward cross-validation and memory optimization, continually evolving to improve predictive precision. It is well-documented with extensive tutorials, making it a reliable tool for efficient time series data analysis.
