The library provides a ready-to-use Temporal Convolutional Network layer compatible with Keras and TensorFlow. It implements dilated causal convolutions inspired by WaveNet, enabling effective long-range dependency modeling in sequences. The layer supports configurable filters, kernel sizes, dilations, skip connections, dropout, and normalization options, positioning it as a drop-in deep learning component for time series and sequence tasks.