tsai provides state-of-the-art deep learning methods for time series and sequential data, built on PyTorch and fastai. It offers implementations of models including CNNs (InceptionTime), RNNs with attention, ROCKET, and Transformers (PatchTST). The library supports univariate and multivariate classification, regression, and forecasting tasks with pre-built datasets and tutorial notebooks.