This repository accompanies a published survey paper on deep learning for time series classification. It provides implementations of convolutional neural network architectures including ResNet and Fully Convolutional Networks (FCN) adapted for time series data. The code supports experiments on the UCR/UEA univariate and multivariate time series archives, allowing researchers to reproduce classification benchmarks using various deep learning approaches.