This repository implements LSTM Fully Convolutional Networks for univariate and multivariate time series classification. The models combine the fast classification performance of Temporal Convolutional layers with the precision of Long Short Term Memory recurrent neural networks. The project includes an ablation study of nearly 3,627 experiments analyzing the contribution of each model component.